Prediction of particulate fouling in full-scale reverse osmosis plants using the modified fouling index – ultrafiltration (MFI-UF) method

Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector

Machine learning for RANS turbulence modeling of variable property flows

Real-World Testing of the Self Grasping Hand, a Novel Adjustable Passive Prosthesis: A Single Group Pilot Study

Comparison of two cable configurations in 3D printed steerable instruments for minimally invasive surgery

Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study

A nonlinear, non-dispersive energy balance for surfzone waves: Infragravity wave dynamics on a sloping beach

Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study

Discrete and metric divisorial gonality can be different

Improving MFI-UF constant flux to more accurately predict particulate fouling in RO systems: Quantifying the effect of membrane surface porosity

Energy Citizenship in Positive Energy Districts— Towards a Transdisciplinary Approach to Impact Assessment

Designing for calibrated trust: Exploring the challenges in calibrating trust between users and autonomous vehicles

Efficient two-layer non-hydrostatic wave model with accurate dispersive behaviour

Three-dimensional unsteady stator-rotor interactions in high-expansion organic Rankine cycle turbines

Mechanical evaluation of the “Hüfner hand” prosthesis

Design of a 3D-printed hand prosthesis featuring articulated bio-inspired fingers

Remote Actuation Systems for Fully Wearable Assistive Devices: Requirements, Selection, and Optimization for Out-of-the-Lab Application of a Hand Exoskeleton

An evaluation of contralateral hand involvement in the operation of the Delft Self-Grasping Hand, an adjustable passive prosthesis

The Stumblemeter: Design and Validation of a System That Detects and Classifies Stumbles during Gait

A comparative study of point clouds semantic segmentation using three different neural networks on the railway station dataset