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Related papers: Recent Advances in Microfluidics and Bioelectronic…

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Electrodermal activity (EDA) reflects changes in skin conductance, which are closely tied to human psychophysiological states. For example, EDA sensors can assess stress, cognitive workload, arousal, or other measures tied to the…

Human-Computer Interaction · Computer Science 2024-03-25 Martin Schmitz , Dominik Schön , Henning Klagemann , Thomas Kosch

Advances in bioinformatics are primarily due to new algorithms for processing diverse biological data sources. While sophisticated alignment algorithms have been pivotal in analyzing biological sequences, deep learning has substantially…

In recent years, interesting materials have emerged which are only available as micron-scale flakes, and whose novel physics might be better understood through broadband microwave spectroscopy; examples include twisted bilayer graphene [1],…

Mesoscale and Nanoscale Physics · Physics 2022-06-08 Antonio Levy , Neil Zimmerman

Microfluidic devices offer unique opportunities to directly observe multiphase flow in porous media. However, as a direct representation of flow in geological pore networks, conventional microfluidics face several challenges. One is that…

Fluid Dynamics · Physics 2026-03-11 S. J. Cox , A. Davarpanah , W. R. Rossen

Due to the highly inhomogeneous distributions of refractive indexes, light propagation in complex media such as biological tissue experiences multiple light scattering events. The suppression and control of multiple light scattering events…

For over two decades, image-based profiling has revolutionized cell phenotype analysis. Image-based profiling processes rich, high-throughput, microscopy data into thousands of unbiased measurements that reveal phenotypic patterns powerful…

3D face reconstruction (3DFR) algorithms are based on specific assumptions tailored to the limits and characteristics of the different application scenarios. In this study, we investigate how multiple state-of-the-art 3DFR algorithms can be…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Simone Maurizio La Cava , Roberto Casula , Sara Concas , Giulia Orrù , Ruben Tolosana , Martin Drahansky , Julian Fierrez , Gian Luca Marcialis

The evolution of interfaces is intrinsic to many physical processes ranging from cavitation in fluids to recrystallization in solids. Computational modeling of interface motion entails a number of challenges, many of which are related to…

Materials Science · Physics 2022-07-26 Erdem Eren , Brandon Runnels , Jeremy Mason

The exciting field of stretchable electronics (SE) promises numerous novel applications, particularly in-body and medical diagnostics devices. However, future advanced SE miniature devices will require high-density, extremely stretchable…

Instrumentation and Detectors · Physics 2017-09-14 Salman Shafqat , Johan P. M. Hoefnagels , Angel Savov , Shivani Joshi , Ronald Dekker , Marc G. D. Geers

The interest in two-dimensional and layered materials continues to expand, driven by the compelling properties of individual atomic layers that can be stacked and/or twisted into synthetic heterostructures. The plethora of electronic…

Recent literature has witnessed significant interest towards 3D biometrics employing monocular vision for robust authentication methods. Motivated by this, in this work we seek to provide insight on recent development in the area of 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-01-08 Aritra Mukherjee , Abhijit Das

The main contribution of this thesis is to investigate the incorporating skin and proximity effects in magnetic induction tomography (MIT) coils and present an improved model for the two-dimensional (2D) forward problem. To evaluate the…

Medical Physics · Physics 2022-06-17 Hassan Yazdanian

The mechanical characterization of cell spheroids, one of the most widely used 3D biology models in vitro, is a hotspot of current research on the role played by the mechanical response of cells and tissues. The techniques proposed so far…

Quantitative Methods · Quantitative Biology 2023-08-11 Rosalia Ferraro , Sergio Caserta , Stefano Guido

Underneath the ear skin there are richly branching vascular and neural networks that ultimately connecting to our heart and brain. Hence, the three-dimensional (3D) mapping of auricular electrophysiological signals could provide a new…

Signal Processing · Electrical Eng. & Systems 2021-07-13 Q. Huang , C. Wu , S. Hou , H. Sun , K. Yao , J. Law , M. Yang , A. L. R. Vellaisamy , X. Yu , H. Y. Chan , L. Lao , Y. Sun , W. J. Li

This paper extends the author's previous two-dimensional work with Ou and LeVeque to high-resolution finite volume modeling of systems of fluids and poroelastic media in three dimensions, using logically rectangular mapped grids. A method…

Numerical Analysis · Mathematics 2013-08-30 Grady I. Lemoine

The formation and dissociation of specific noncovalent interactions between a variety of macromolecules play a crucial role in the function of biological systems. During the last few years, three main lines of research led to a dramatic…

Biological Physics · Physics 2009-11-13 Pierre Bongrand

The growing need for intelligent, adaptive, and energy-efficient autonomous systems across fields such as robotics, mobile agents (e.g., UAVs), and self-driving vehicles is driving interest in neuromorphic computing. By drawing inspiration…

Machine Learning · Computer Science 2025-07-25 Alberto Marchisio , Muhammad Shafique

Wireless bioelectronic interfaces are increasingly used to control tissue-engineered biohybrid robotic systems. However, a unifying engineering framework linking device design to system-level control remains underdeveloped. Here, we propose…

Robotics · Computer Science 2026-04-16 Hiroyuki Tetsuka , Minoru Hirano

Flagellated microorganisms can swim at low Reynolds numbers and adapt to changes in their environment. Specifically, the flagella can switch their shapes or modes through gene expression. In the past decade, efforts have been made to…

Robotics · Computer Science 2024-01-02 Liyuan Tan , Yang Yang , Li Fang , David J. Cappelleri

We review recent advances in the design, synthesis, and modeling of active fluids. Active fluids have been at the center of many technological innovations and theoretical advances over the past two decades. Research on this new class of…

Soft Condensed Matter · Physics 2023-02-02 Ilham Essafri , Bappa Ghosh , Caroline Desgranges , Jerome Delhommelle