Results 121 to 130 of about 4,499,387 (287)
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Patient satisfaction with nursing care : a comparison analysis of critical care and medical units
Patient satisfaction is an outcome of care that represents the patient's judgment on the quality of care. An important aspect of quality affecting patient's judgment can be attributed to patients' expectations and experiences regarding nursing care ...
Singleton, Alsy R.
core
Female and male patients’ perceptions of primary care doctors’ communication skills in Hong Kong
This study examined how female and male patients perceive primary doctors’ communication skills in the Chinese context. To do so, this study specifically investigates female and male patients’ general perceptions toward primary care doctors ...
Vivienne Leung, Kimmy Cheng
doaj
An ultrasound‐activatable piezoelectric hydrogel reprograms chondrocyte mitochondrial epigenetics via the mTOR/GATD3A axis, clearing damaged mitochondria and alleviating osteoarthritis progression in both mouse models and human cartilage explants. ABSTRACT The avascular nature of cartilage hinders drug delivery for osteoarthritis (OA) therapy.
Hui Zheng +9 more
wiley +1 more source
Improving patient satisfaction in glaucoma care
Samsul Islam, Ahmad Salha, Saeed Azizi Faculty of Medicine, St George’s Hospital Medical School, London, UKWe read the article by Foo et al1 with great interest.
Islam S, Salha A, Azizi S
doaj
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
EndoTac presents a trocar‐compatible endoscopic vision‐based tactile sensor that uses a convex mirror to enlarge side‐facing tactile coverage during minimally invasive vessel palpation. Distorted tactile images are unwarped and processed by a learning model to estimate vascular deformation, enabling sensitive, spatially distributed tactile perception ...
Yupeng Wang +5 more
wiley +1 more source
The Relationship between Nurses’ Clinical Competence and Emergency Nursing-care Patient Satisfaction in Northwestern Iran [PDF]
Background and Objective: A core ethical requirement of the emergency system is ensuring the clinical competence of nursing staff. Therefore, this study aimed to determine the relationship between nurses’ clinical competence and emergency nursing-care ...
Leila Karamzadeh +3 more
doaj
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source

