Results 41 to 50 of about 18,966 (212)
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Human Nasal Turbinate-Derived Stem Cells for Tissue Engineering and Regenerative Medicine [PDF]
Mesenchymal stem cells (MSCs) are multipotent progenitor cells present in adult tissues that are recognized as promising candidates for cell therapy due to their ease of access, straightforward isolation, and capacity for bio-preservation with minimal ...
Do Hyun Kim, Se Hwan Hwang
doaj +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
MICRODEBRIDER TECHNIQUE FOR MANAGEMENT OF INFERIOR TURBINATE HYPERTROPHY
Background: Microdebrider-assisted turbinoplasty of inferior turbinate is a surgical procedure for reducing the size of turbinate and achieve patent nasal airways in a condition where an enlarged turbinate cause chronic nasal obstruction not responding ...
Adil N Razooqi +2 more
doaj +4 more sources
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy
A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim +5 more
wiley +1 more source
Background: Hypertrophy of inferior turbinate (IT) may arise from soft tissue and/or bony enlargement and is most related to inflammatory rhinitis. We aimed to study and compare the histopathological changes in the IT mucosa, submucosa, and bone in ...
Vinuta Patil +6 more
doaj +2 more sources
Fibrous dysplasia of inferior turbinate, middle turbinate, and frontal sinus
Fibrous dysplasia of inferior turbinate, middle turbinate, and frontal sinus. Fibrous dysplasia (FD) is a nonneoplastic fibro-osseous lesion. Paranasal sinus involvement is infrequent.
K. M. Ozcan +5 more
doaj +2 more sources
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source

