Results 61 to 70 of about 20,901 (253)

Concepts in Boolean network modeling: What do they all mean?

Computational and Structural Biotechnology Journal, 2020
Boolean network models are one of the simplest models to study complex dynamic behavior in biological systems. They can be applied to unravel the mechanisms regulating the properties of the system or to identify promising intervention targets.
Julian D. Schwab, Silke D. Kühlwein, Nensi Ikonomi, Michael Kühl, Hans A. Kestler   +4 more
doaj   +1 more source

Stability of Boolean multilevel networks [PDF]

Physical Review E, 2012
Final version.
Cozzo, Emanuele, Arenas, Alex, Moreno, Yamir   +2 more
openaire   +3 more sources

From Fiber Bundles to Architected Membranes: Triply Periodic Minimal Surface Architectures for Biohybrid Artificial Lungs

Advanced Materials, EarlyView.
Additively manufactured triply periodic minimal surface (TPMS) membranes offer an architecture‐driven alternative to hollow fiber bundles in artificial lungs. Multiphysics simulations and endothelialized prototypes show that the 3D‐printable membrane architecture improves gas exchange, blood flow distribution, and hemocompatibility, enabling ...
Michael Pflaum, Kai P. Barbian, Florian Neuhaus, Gerrit Sitarz, Carolin Nölke, Sebastian V. Jansen, John Linkhorst, Lukas T. Hirschwald, Sebastian Brosch, Christian Certa, Ulrich Steinseifer, Matthias Wessling, Jutta Arens, Arjang Ruhparwar, Bettina Wiegmann   +14 more
wiley   +1 more source

Griffin: A Tool for Symbolic Inference of Synchronous Boolean Molecular Networks

Frontiers in Genetics, 2018
Boolean networks are important models of biochemical systems, located at the high end of the abstraction spectrum. A number of Boolean gene networks have been inferred following essentially the same method. Such a method first considers experimental data
Stalin Muñoz, Stalin Muñoz, Stalin Muñoz, Miguel Carrillo, Eugenio Azpeitia, Eugenio Azpeitia, David A. Rosenblueth, David A. Rosenblueth   +7 more
doaj   +1 more source

Direct Observation of Propagating Spin Waves in a Spin Hall Nano‐Oscillator

Advanced Materials, EarlyView.
By combining frequency injection locking with time‐resolved scanning transmission x‐ray microscopy (TR‐STXM), the authors image the real‐time magnetization dynamics of a spin Hall nano‐oscillator (SHNO) for the first time. Their results reveal richer dynamics than previously reported and challenge existing assumptions regarding the radiation hardness ...
Victor H. González, Frank Schulz, Nilamani Behera, Martina Ahlberg, Akash Kumar, Andreas Frisk, Felix Groß, Sven Erik Ilse, Steffen Wittrock, Markus Weigand, Gisela Schütz, Johan Åkerman, Sebastian Wintz   +12 more
wiley   +1 more source

Shape Memory Polymer‐Based Flexible Pressure Sensor for Real‐Time Venous Thrombosis Monitoring

Advanced Materials Interfaces, EarlyView.
A shape‐memory tubular flexible pressure sensor with a 100‐mesh microstructured SMP‐PLA/MWCNTs sensing layer was developed for PICC‐mounted monitoring of thrombosis‐related pressure changes. The sensor combines high sensitivity (204 kPa−1), a fast response time (28 ms), and conformal catheter fixation and was validated by hydrostatic and ex vivo ...
Yi Chen, Mengtao Huang, Ang Wang, Linsen Tang, Mengting He, Xuejin Li, Shaoxing Qu, Zongrong Wang   +7 more
wiley   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source