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The mental health effects of pet death during childhood: Is it better to have loved and lost than never to have loved at all? (2020)
Journal Article

Pet ownership is common. Growing evidence suggests children form deep emotional attachments to their pets. Yet, little is known about children’s emotional reactions to a pet’s death. The goal of this study was to describe the relationship between exp... Read More about The mental health effects of pet death during childhood: Is it better to have loved and lost than never to have loved at all?.

Evaluation of artificial neural network algorithms for predicting the effect of the urine flow rate on the power performance of microbial fuel cells (2020)
Journal Article

© 2020 The Authors Microbial fuel cell (MFC) power performance strongly depends on the biofilm growth, which in turn is affected by the feed flow rate. In this work, an artificial neural network (ANN) approach has been used to simulate the effect of... Read More about Evaluation of artificial neural network algorithms for predicting the effect of the urine flow rate on the power performance of microbial fuel cells.

Flow analysis in right-angled pipes with different geometric shapes and parameters for sludge discharge in slime shield machines measured using a CFD-DEM method (2020)
Journal Article

Mud and gravel deposition often occurs in circulation systems of pumps. In this paper, a liquid-solid coupling method combining CFD and DEM is proposed to study two-phase flow behavior of water, The flow characteristics of water-clay mud and the moti... Read More about Flow analysis in right-angled pipes with different geometric shapes and parameters for sludge discharge in slime shield machines measured using a CFD-DEM method.

An approach to object-level stiffness regulation of hand-arm systems subject to under-actuation constraints (2020)
Journal Article

When using a tool with a robotic hand-arm system, the stiffness at the grasped object plays a key role in the interaction with the environment, allowing the successful execution of the task. However, the rapidly increasing use of under-actuated hands... Read More about An approach to object-level stiffness regulation of hand-arm systems subject to under-actuation constraints.

An incremental learning framework to enhance teaching by demonstration based on multimodal sensor fusion (2020)
Journal Article

Though a robot can reproduce the demonstration trajectory from a human demonstrator by teleoperation, there is a certain error between the reproduced trajectory and the desired trajectory. To minimize this error, we propose a multimodal incremental l... Read More about An incremental learning framework to enhance teaching by demonstration based on multimodal sensor fusion.

Development of novel hybrid method and geometrical configuration-based active noise control system for circular cylinder and slat noise prediction and reduction applications (2020)
Thesis

This thesis presents a study about the application of a geometrical configuration-based feedforward adaptive active noise control (ANC) system in the low-frequency range of flow-induced (aeroacoustics) noise cancellation and the investigation on the... Read More about Development of novel hybrid method and geometrical configuration-based active noise control system for circular cylinder and slat noise prediction and reduction applications.