Results 161 to 170 of about 160,046 (357)
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Decoupling of Multivariable Linear Time-Varying Systems with Time Delays in the Control Variables
Eiji Nakanishi, Koji Nanbara
openalex +2 more sources
Studies of multivariable manual control systems - Two-axis compensatory systems with separated displays and controls [PDF]
Human controller behavior in multivariable control ...
Elkind, J. I., Levison, W. H.
core +2 more sources
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
The first biometric framework to harness dynamic time warping (DTW) for single‐channel diaphragmatic surface electromyography authentication via post‐hoc alignment is presented. By optimally warping deep–normal–deep breath cycles, DTW achieves perfect genuine–impostor separation (equal error rates = 0%), while a parallel adaptive neuro‐fuzzy inference ...
Beyza Eraslan +2 more
wiley +1 more source
This long‐term follow‐up study determined survival rates in a Swedish national cohort of 417 patients with breast cancer who all had neoadjuvant systemic therapy (NAST). Sentinel lymph node biopsy (SLNB) was performed before NAST in clinically node‐negative and after NAST in clinically node‐positive patients.
L. Zetterlund +4 more
wiley +1 more source
Design of a Pre-Compensator for Linear Multivariable Adaptive Control System
Katsutoshi TAMURA, Wataru Kase
openalex +2 more sources
Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang +5 more
wiley +1 more source
Clean Cut is a multimodal, adaptive, checklist‐based infection prevention programme designed to improve compliance with six critical perioperative infection prevention practices. After introducing the programme at five hospitals in Ethiopia, compliance with critical infection prevention standards significantly improved and the relative risk of ...
J. A. Forrester +16 more
wiley +1 more source

