Results 71 to 80 of about 32,922 (243)
Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor +4 more
wiley +1 more source
Technological advancements and artificial intelligence raise security concerns, with facial recognition being a particularly effective security measure.
Ali Asghar +2 more
doaj +1 more source
Cross‐disciplinary endeavors are blossoming across the broad chemical sciences. This perspective provides a glimpse into the rewarding interdisciplinary journey taken by the Charles Loh research group in pioneering the σ‐hole based catalytic glycosylation strategy.
Charles C. J. Loh
wiley +1 more source
Decision-making under uncertainty, bipolarity (positive–negative assessments), and periodic/oscillatory behaviors remains challenging for existing fuzzy and soft set models, often resulting in information loss and unstable rankings.
Fazli Amin +7 more
doaj +1 more source
Bistable Networks Enable Complex Shape Changes
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Hypersoft sets with weight-based SVM for medical uncertainty modeling: A case study in heart disease diagnosis [PDF]
The HyperSoft Set (HSS) is a powerful tool for Multi-Criteria Group Decision-Making (MCGDM) problems because it expands on the concept of the soft set by combining many sets of qualities. The function F in this framework is a multi-argument function. The
Balakrishnan Subramanian +5 more
doaj +1 more source
Toward High‐Resolution Polymeric Neural Interfaces: A Practical Guide for Electron Beam Lithography
Electron beam lithography (EBL) enables sub‐micron patterning of polymer‐based neural implants, overcoming the resolution limits of optical lithography. By addressing challenges such as charging, non‐planarity, and substrate heating, it supports higher channel density, improved miniaturization, and better long‐term tissue integration.
Hanna Karlsson‐Fernberg, Maria Asplund
wiley +1 more source
A rare de novo IFT122‐A773E variant is identified in idiopathic pediatric uveitis and shown to exacerbate retinal inflammation and barrier dysfunction. Mechanistically, the variant enhances IFT43 interaction, elevates calcium signaling, and activates the MEK/ERK/FRA1 axis, revealing a previously unrecognized cilia‐associated pathway that may increase ...
Qian Zhou +18 more
wiley +1 more source
A new approach to r,s,t-spherical fuzzy soft sets with applications to multi-criteria decision-making [PDF]
As an extension of T-Spherical Fuzzy Soft Sets (T-SFSS), the notion of r,s,t-Spherical Fuzzy Soft Sets (rst-SFSS) is presented in this study. Incorporating the degrees of membership, neutral membership, and non-membership into a more adaptable structure,
Fatih Karamaz +2 more
doaj +1 more source

