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A multibody kinematic system approach for the design of shape-morphing mechanism-based metamaterials

de Jong, P.H. (author), Schwab, A.L. (author), Mirzaali, Mohammad J. (author), Zadpoor, A.A. (author)

Shape-morphing structures have the ability to adapt to various target shapes, offering significant advantages for many applications. However, predicting their behavior presents challenges. Here, we present a method to assess the shape-matching behavior of shape-morphing structures using a multibody systems approach wherein the structure is...

journal article 2023

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The relevance of reducing Veress needle overshooting

Horeman, T. (author), Postema, R.R. (author), Fischer, T. (author), Calleja-Agius, J. (author), Camenzuli, C. (author), Alvino, L. (author), Hardon, S.F. (author), Bonjer, H. J. (author)

Safe insertion of the Veress needle during laparoscopy relies on the surgeons’ technical skills in order to stop needle insertion just in time to prevent overshooting in the underlying organs. To reduce this risk, a wide variety of Veress needle systems were developed with safety mechanisms that limit the insertion speed, insertion depth or...

journal article 2023

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Physiological and stoichiometric characterization of ethanol-based chain elongation in the absence of short-chain carboxylic acids

Allaart, M.T. (author), Fox, B.B. (author), Nettersheim, I.H.M.S. (author), Pabst, Martin (author), Sousa, Diana Z. (author), Kleerebezem, R. (author)

Hexanoate is a valuable chemical that can be produced by microorganisms that convert short-chain- to medium-chain carboxylic acids through a process called chain elongation. These microorganisms usually produce mixtures of butyrate and hexanoate from ethanol and acetate, but direct conversion of ethanol to hexanoate is theoretically possible....

journal article 2023

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Data-Enhanced Design: Engaging Designers in Exploratory Sensemaking with Multimodal Data

Gorkovenko, Katerina (author), Jenkins, Adam (author), Vaniea, Kami (author), Murray-Rust, D.S. (author)

Research in the wild can reveal human behaviors, contexts, and needs around products that are difficult to observe in the lab. Telemetry data from the use of physical products can help facilitate in the wild research, in particular by suggesting hypotheses that can be explored through machine learning models. This paper explores ways for...

journal article 2023

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Autoregressive graph Volterra models and applications

Yang, Qiuling (author), Coutino, Mario (author), Leus, G.J.T. (author), Giannakis, Georgios B. (author)

Graph-based learning and estimation are fundamental problems in various applications involving power, social, and brain networks, to name a few. While learning pair-wise interactions in network data is a well-studied problem, discovering higher-order interactions among subsets of nodes is still not yet fully explored. To this end, encompassing...

journal article 2023

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Membrane-based microfluidic solvent extraction of Ga-68 from aqueous Zn solutions: towards an automated cyclotron production loop

Trapp, S. (author), Lammers, Tom (author), Engudar, Gokce (author), Hoehr, Cornelia (author), Denkova, A.G. (author), Paulssen, E. (author), de Kruijff, R.M. (author)

Background: The radionuclide Ga-68 is commonly used in nuclear medicine, specifically in positron emission tomography (PET). Recently, the interest in producing Ga-68 by cyclotron irradiation of [⁶⁸Zn]Zn nitrate liquid targets is increasing. However, current purification methods of Ga-68 from the target solution consist of multi...

journal article 2023

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Finding shortest and nearly shortest path nodes in large substantially incomplete networks by hyperbolic mapping

Kitsak, M.A. (author), Ganin, Alexander (author), Elmokashfi, Ahmed (author), Cui, Hongzhu (author), Eisenberg, Daniel A. (author), Alderson, David L. (author), Korkin, Dmitry (author), Linkov, Igor (author)

Dynamic processes on networks, be it information transfer in the Internet, contagious spreading in a social network, or neural signaling, take place along shortest or nearly shortest paths. Computing shortest paths is a straightforward task when the network of interest is fully known, and there are a plethora of computational algorithms for...

journal article 2023

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High entropy liquid electrolytes for lithium batteries

Wang, Q. (author), Zhao, C. (author), Wang, Jianlin (author), Yao, Zhenpeng (author), Wang, Shuwei (author), Kumar, Sai Govind Hari (author), Ganapathy, S. (author), Eustace, S.J. (author), Wagemaker, M. (author)

High-entropy alloys/compounds have large configurational entropy by introducing multiple components, showing improved functional properties that exceed those of conventional materials. However, how increasing entropy impacts the thermodynamic/kinetic properties in liquids that are ambiguous. Here we show this strategy in liquid electrolytes...

journal article 2023

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A Methodology to Develop Agent-Based Models for Policy Support Via Qualitative Inquiry

Nespeca, V. (author), Comes, M. (author), Brazier, F.M. (author)

Qualitative research is a powerful means to capture human interactions and behavior. Although there are different methodologies to develop models based on qualitative research, a methodology is missing that enables to strike a balance between the comparability across cases provided by methodologies that rely on a common and context...

journal article 2023

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Steering the product spectrum in high-pressure anaerobic processes: CO₂ partial pressure as a novel tool in biorefinery concepts

Ceron Chafla, P.S. (author), de Vrieze, Jo (author), Rabaey, Korneel (author), van Lier, J.B. (author), Lindeboom, R.E.F. (author)

Background: Elevated CO₂ partial pressure (pCO₂) has been proposed as a potential steering parameter for selective carboxylate production in mixed culture fermentation. It is anticipated that intermediate product spectrum and production rates, as well as changes in the microbial community, are (in)directly influenced by...

journal article 2023

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Sub-diffusion flow velocimetry with number fluctuation optical coherence tomography

Cheishvili, K. (author), Kalkman, J. (author)

We have implemented number fluctuation dynamic light scattering optical coherence tomography (OCT) for measuring extremely slow, sub-diffusion flows of dilute particle suspensions using the second-order autocovariance function. Our method has a lower minimum measurable velocity than conventional correlation-based OCT or phase-resolved Doppler...

journal article 2023

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The Time Scale of Shallow Convective Self-Aggregation in Large-Eddy Simulations Is Sensitive to Numerics

Janssens, M. (author), Vilà-Guerau de Arellano, Jordi (author), van Heerwaarden, Chiel C. (author), van Stratum, Bart J.H. (author), de Roode, S.R. (author), Siebesma, A.P. (author), Glassmeier, F. (author)

Numerical simulations of the tropical mesoscales often exhibit a self-reinforcing feedback between cumulus convection and shallow circulations, which leads to the self-aggregation of clouds into large clusters. We investigate whether this basic feedback can be adequately captured by large-eddy simulations (LESs). To do so, we simulate the non...

journal article 2023

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SHIP: identifying antimicrobial resistance gene transfer between plasmids

Carvalho Teixeira, M.T. (author), Pillay, S. (author), Urhan, A. (author), Abeel, T.E.P.M.F. (author)

Motivation: Plasmids are carriers for antimicrobial resistance (AMR) genes and can exchange genetic material with other structures, contributing to the spread of AMR. There is no reliable approach to identify the transfer of AMR genes across plasmids. This is mainly due to the absence of a method to assess the phylogenetic distance of...

journal article 2023

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Going dark? Analysing the impact of end-to-end encryption on the outcome of Dutch criminal court cases

Hartel, P.H. (author), van Wegberg, R.S. (author)

Law enforcement agencies struggle with criminals using end-to-end encryption (E2EE). A recent policy paper states: “while encryption is vital and privacy and cyber security must be protected, that should not come at the expense of wholly precluding law enforcement”. The main argument is that E2EE hampers attribution and prosecution of...

journal article 2023

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Mechanical overtone frequency combs

de Jong, M.H.J. (author), Ganesan, Adarsh (author), Cupertino, A. (author), Groeblacher, S. (author), Norte, R.A. (author)

Mechanical frequency combs are poised to bring the applications and utility of optical frequency combs into the mechanical domain. So far, their main challenge has been strict requirements on drive frequencies and power, which complicate operation. We demonstrate a straightforward mechanism to create a frequency comb consisting of mechanical...

journal article 2023

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Short- and long-term temporal network prediction based on network memory

Zou, L. (author), Ceria, A. (author), Wang, H. (author)

Temporal networks are networks whose topology changes over time. Two nodes in a temporal network are connected at a discrete time step only if they have a contact/interaction at that time. The classic temporal network prediction problem aims to predict the temporal network one time step ahead based on the network observed in the past of a...

journal article 2023

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Consequences and opportunities arising due to sparser single-cell RNA-seq datasets

Bouland, G.A. (author), Mahfouz, A.M.E.T.A. (author), Reinders, M.J.T. (author)

With the number of cells measured in single-cell RNA sequencing (scRNA-seq) datasets increasing exponentially and concurrent increased sparsity due to more zero counts being measured for many genes, we demonstrate here that downstream analyses on binary-based gene expression give similar results as count-based analyses. Moreover, a binary...

journal article 2023

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Developing a Digital Medication Adherence Intervention for and With Patients With Asthma and Low Health Literacy: Protocol for a Participatory Design Approach

Faber, J.S. (author), Poot, Charlotte C. (author), Dekkers, Tessa (author), Romero Herrera, N.A. (author), Chavannes, N.H. (author), Meijer, Eline (author), Visch, V.T. (author)

Background: Current eHealth interventions are poorly adopted by people with low health literacy (LHL) as they often fail to meet their needs, skills, and preferences. A major reason for this poor adoption is the generic, one-size-fits-all approach taken by designers of these interventions, without addressing the needs, skills, and preferences...

journal article 2023

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Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes

Ranjan, R. (author), Langelaar, Matthijs (author), van Keulen, A. (author), Ayas, C. (author)

Computational process modelling of metal additive manufacturing has gained significant research attention in recent past. The cornerstone of many process models is the transient thermal response during the AM process. Since deposition-scale modelling of the thermal conditions in AM is computationally expensive, spatial and temporal...

journal article 2023

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Bioinspired rational design of bi-material 3D printed soft-hard interfaces

Cruz Saldivar, M. (author), Tay, E.T.W.S. (author), Isaakidou, A. (author), Moosabeiki, Vahid (author), Fratila-Apachitei, E.L. (author), Doubrovski, E.L. (author), Mirzaali, Mohammad J. (author), Zadpoor, A.A. (author)

Durable interfacing of hard and soft materials is a major design challenge caused by the ensuing stress concentrations. In nature, soft-hard interfaces exhibit remarkable mechanical performance, with failures rarely happening at the interface. Here, we mimic the strategies observed in nature to design efficient soft-hard interfaces. We base...

journal article 2023