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Trained innate immunity modulates osteoblast and osteoclast differentiation

Rahmani, N. R. (author), Belluomo, R. (author), Kruyt, M. C. (author), Gawlitta, D. (author), Joosten, L. A.B. (author), Weinans, Harrie (author), Croes, M. (author)

Macrophages are key regulators in bone repair and regeneration. Recent studies have shown that long-term epigenetic changes and metabolic shifts occur during specific immune training of macrophages that affect their functional state, resulting in heightened (trained) or reduced (tolerant) responses upon exposure to a second stimulus. This is...

journal article 2024

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Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention

Westerhout, Frederik (author)

Understanding traffic participants’ behaviour is crucial for predicting their future trajectories, enabling autonomous vehicles to better assess the environment and consequently anticipate possible dangerous situations at an early stage. While the integration of cognitive processes and machine learning models has demonstrated promise in various...

master thesis 2023

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Validation and analysis of loading models for a multi-megawatt floating offshore two-bladed wind turbine

Ralph, Ben (author)

Offshore wind is a rapidly maturing renewable energy technology and is expected to play a central role in future energy systems. It has the potential to generate more than 420,000 TWh per year worldwide, an amount approximately equal to eighteen times the global electricity demand today. While many of the most abundantly resourceful sites are at...

master thesis 2023

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Senescence during early differentiation reduced the chondrogenic differentiation capacity of mesenchymal progenitor cells

Voskamp, Chantal (author), Koevoet, Wendy J.L.M. (author), van Osch, G.J.V.M. (author), Narcisi, Roberto (author)

Introduction: Mesenchymal stromal/progenitor cells (MSCs) are promising for cartilage cell-based therapies due to their chondrogenic differentiation capacity. However, MSCs can become senescent during in vitro expansion, a state characterized by stable cell cycle arrest, metabolic alterations, and substantial changes in the gene expression and...

journal article 2023

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Modulation of Inflamed Synovium Improves Migration of Mesenchymal Stromal Cells in Vitro Through Anti-Inflammatory Macrophages

Wesdorp, Marinus A. (author), Bastiaansen-Jenniskens, Yvonne M. (author), Capar, Serdar (author), Verhaar, Jan A.N. (author), Narcisi, R. (author), van Osch, G.J.V.M. (author)

OBJECTIVE: Inflammation is known to negatively affect cartilage repair. However, it is unclear how inflammation influences the migration of mesenchymal stromal cells (MSCs) from the underlying bone marrow into the defect. We therefore aimed to investigate how synovial inflammation influences MSC migration, and whether modulation of...

journal article 2022

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Stabilization of Visually Guided Robotic Lampreys

Overdevest, Joram (author)

This thesis contains two contributions to the stabilization of visually guided robotic lampreys: the head stabilization method and the head-led target tracking design. Both approach the problem that camera inputs, attached to the head segment, are disturbed due to the participation of the head in the locomotion gait of the robot. Head...

master thesis 2021

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Identifying and improving port call processes to enable Just-In-Time arrivals and services: A case study on MSC container shipping in the Port of Rotterdam

Vermeulen, Maurice (author)

The IMO has proposed Just-In-Time arrivals and services as one of the short-term solutions to reduce greenhouse gas emissions in maritime shipping. The Just-In-Time concept allows vessels to optimize their speed during the voyage. If a vessel earlier knows at which time it is requested to arrive at the pilot boarding place, the vessel can adapt...

master thesis 2020

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Where does plastic in the ocean come from?: Using the end location to find the likelihood of a possible start location of plastic particles in the ocean

Goudsmit, L. (author)

In the ocean resides a large amount of plastic. This has severe environmental consequences for the oceans. To be able to clean up all this plastic the location of the plastic is needed. A lot of times plastic is cleaned up at the source, but to clean up here this location needs to be known. However, what if the start location is not known and...

bachelor thesis 2020

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Room geometry estimation from stereo recordings using neural networks

Bologni, Giovanni (author)

Acoustic room geometry estimation is often performed in ad hoc settings, i.e., using multiple microphones and sources distributed around the room, or assuming control over the excitation signals. To facilitate practical applications, we propose a fully convolutional network (FCN) that localizes reflective surfaces under the relaxed assumptions...

master thesis 2020

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An Investigation of the Medical Ultrasound Image Sparse Spaces used for the Model-Based Imaging

Liu, Zheheng (author)

In this thesis, we investigate a sparse basis for ultrasound images, so that we can use sparse regularization in imaging. Actually, there are few previous researches explicitly demonstrating that medical ultrasound images can be sparsified for some dictionary. We consider various orthogonal transforms such as wavelet transforms, cosine...

master thesis 2019

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Direction-of-Arrival Estimation using an Unsynchronized Array Of Acoustic Vector Sensors

Coonen, Bart (author)

Direction-Of-Arrival (DOA) estimation of acoustic signals is of great interest in various applications including battlefield acoustic and noise localization. Acoustic sensors are employed in an array configuration to estimate DOAs based on the time differences of arrival DOAs. However, the acoustic sensors in the network have all their own Data...

master thesis 2018

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Crane fatigue assessment using Multibody Dynamics and Finite Element Method

Tawjoeram, Clive (author)

For decades crane standards are used to assess crane fatigue making use of a static method in combination with factors to take dynamic load effects into account. This is not sufficient to make more accurate predictions. The proposed method benefits from state of the art Multibody Dynamics simulation tool Msc ADAMS and Finite Element software...

master thesis 2017

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Using Topology Optimization for Actuator Placement within Motion Systems

Broxterman, Stefan (author)

Topology optimization is a strong approach for generating optimal designs which cannot be obtained using conventional optimization methods. Improving structural characteristics by changing the internal topology of a design domain has been fascinating scientists and engineers for years. Topology optimization can be described as a distribution of...

master thesis 2017

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Rescaling of incorrect source strength using Marchenko Redatuming

Brackenhoff, J.A. (author)

The iterative Marchenko scheme is a recent development in the field of Geophysics and a way to retrieve Green's functions at any point in the subsurface, called a focal point. To achieve this, only the reflection response measured at the Earth's surface and an estimation of the first arrival at the focal point are required. If the amplitude of...

master thesis 2016

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Quantitative Assessment of Adhesively-bonded Joints Using Ultrasonic Guided Waves

Verze, M. (author)

Maintenance is a costly but vital part of an aircraft lifespan. Regulations demand scheduled and rigorous inspection to ensure safety and airworthiness in the long term. Studies estimate that up to a third of the total operational cost of an aircraft is spent in maintenance checks. Consequently, design choices are made to take into account these...

master thesis 2016

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Tuning of Optical Beamforming Networks: A Deep Learning Approach

Nugroho, H. (author)

Optical beamforming networks (OBFNs), which consist of many small and flat antennas, called phased array antennas (PAAs), can be tuned such that the signal beam from the airplanes can be steered towards a satellite. This was proposed as a alternative to the mechanically steered antenna, which has many disadvantages. The problem of tuning a large...

master thesis 2015

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Reward system design for incorporating control performance

Nagaki, K. (author)

Reinforcement learning (RL) is a machine learning technique whereby the controller learns the control law by optimizing the received cumulative amount of reward. A reward is an instantaneous evaluation of the applied action at the current state, given by reward function. However in theory the reward function is assumed to be given, in practice...

master thesis 2015

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Nonlinear fuzzy observer for payload estimation in physical human-robot interaction

Van Dieten, D. (author)

Robotics have developed at a very high rate in the last few years. Industries are becoming capable of automating repetitive procedures without pause, and the production speed and quality are improving everyday. The main drawback of robotics in industry is the inability to deal with slight changes in an environment or in certain object parameters...

master thesis 2015

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Flood Risk Reduction in Voorne-Putten

Gijon, A. (author), Kala, Y. (author), Monteban, D. (author), Sasikumar, A. (author), Songy, G. (author)

Voorne-Putten is an island located in the delta region of the Netherlands. The island is surrounded by a dike ring which consists of dikes, dunes, and hydraulic structures. The flood risk in Voorne-Putten was assessed to be unacceptable according to the measure of local individual risk. The maximum allowable local individual risk in the...

student report 2015

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Filtering techniques for orbital debris conjunction analysis

Leloux, J. (author)

The steadily growing amount of orbital debris increases the probability and amount of collisions between two objects in orbit about the Earth. These collisions in turn create even more debris, and it is therefore important to keep track of future conjunctions. The U.S. Space Surveillance Network (SSN) uses ground- and space-based sensors to...

master thesis 2012