Results 51 to 60 of about 3,186 (177)
Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions
Miniature soft robots have great prospects to revolutionize minimally invasive treatments. Here we present a miniature soft robot, which can be reprogrammed to perform five surgical functionalities with six‐degrees‐of‐freedom motions. This soft robot can prospectively make minimally invasive surgery considerably safer and painless, and enable ...
Chelsea Shan Xian Ng +4 more
wiley +1 more source
This paper introduces a comprehensive and resilient multi-energy system (MES) designed for independent planning and real-time implementation. A robust daily coordinated planning model is proposed, incorporating adjustable optimization with fundamental ...
Yang Wang, Ji Li
doaj +1 more source
A multidirectional modified Physarum solver for discrete decision making [PDF]
In this paper, a bio-inspired algorithm able to incrementally grow decision graphs in multiple directions is presented. The heuristic draws inspiration from the behaviour of the slime mould Physarum Polycephalum.
Masi, Luca, Vasile, Massimiliano
core
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
ABSTRACT Papillary Thyroid Carcinoma (PTC) is the most prevalent thyroid malignancy, and accurate lesion segmentation is essential for clinical diagnosis and treatment planning. Metaheuristic optimisation algorithms have been widely used in Multi‐Threshold Image Segmentation (MTIS), but many existing methods suffer from an imbalance between global ...
Jing Ruan +14 more
wiley +1 more source
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton +2 more
wiley +1 more source
Strength properties prediction of RCA concrete via hybrid regression framework
High-performance concrete (HPC) is commonly utilized in the construction industry because of its strength and durability. The mechanical properties of HPC, specifically its compressive and tensile strength, are crucial indicators.
Linlin Yu
doaj +1 more source
Pooling or sampling: Collective dynamics for electrical flow estimation [PDF]
The computation of electrical flows is a crucial primitive for many recently proposed optimization algorithms on weighted networks. While typically implemented as a centralized subroutine, the ability to perform this task in a fully decentralized way is ...
Becchetti, Luca +2 more
core
Approximating Mexican highways with slime mould
Plasmodium of Physarum polycephalum is a single cell visible by unaided eye. During its foraging behavior the cell spans spatially distributed sources of nutrients with a protoplasmic network. Geometrical structure of the protoplasmic networks allows the
A Adamatzky +33 more
core +1 more source
From Efficiency to Illness: Do Highly Automatable Jobs Take a Toll on Health in Germany?
ABSTRACT Automation transforms work at a rapid pace, with gradually increasing shares of the workforce at risk of being replaced by machines. However, little is known about how this risk is affecting workers. In this study, we examine the relationship between exposure to high automation risk at work and both subjective (self‐reported health, anxiety ...
Mariia Vasiakina, Christian Dudel
wiley +1 more source

