Magneto‐X Effects in Magnetic Soft Materials and Their Applications
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang +5 more
wiley +1 more source
Breast Cancer Detection and Analytics Using Hybrid CNN and Extreme Learning Machine. [PDF]
Sureshkumar V +5 more
europepmc +1 more source
Highly Aligned Bacteria Cellulose Yarn Aggregation for Energy Generation and Strain Sensing
Although high‐performance bacterial cellulose fibers have attracted significant interest for wearable electronics, a self‐powered and high‐mechanosensitive design is still scarce for achieving an intelligent integrated system. Here, we demonstrate an innovative bio‐fabrication strategy to develop a core‐sheath yarn that features the ordered network and
Chong Gao +9 more
wiley +1 more source
Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting. [PDF]
Samadi-Koucheksaraee A, Chu X.
europepmc +1 more source
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang +11 more
wiley +1 more source
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer. [PDF]
Ali Amin S +5 more
europepmc +1 more source
Peroxidase‐Mimicking Nanozymes for Rapid Detection of Infectious Diseases
Peroxidase‐mimicking nanozymes (PMNs) have emerged as robust and versatile materials for rapid infectious disease diagnostics. This review highlights the rational design and controlled synthesis of PMNs, summarizes key biomarkers relevant to infectious diseases, examines their integration into diverse rapid detection platforms, and highlights ...
Shikuan Shao +5 more
wiley +1 more source
Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine. [PDF]
Maurya R +6 more
europepmc +1 more source
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li +8 more
wiley +1 more source

