Mechanical energy harvesting based on the piezoelectric materials: Recent advances and future perspectives

X Pan, Y Wu, Y Wang, G Zhou, H Cai - Chemical Engineering Journal, 2024 - Elsevier
Against the backdrop of growing global energy demand, the drive to obtain sustainable
energy from ambient mechanical sources has become increasingly significant. In recent …

Deep Learning-Assisted Intelligent Artificial Vision Platform Based on Dual-Luminescence Eu (III)-Functionalized HOF for the Diagnosis of Breast and Ovarian Cancer

Z Hu, B Yan - Analytical Chemistry, 2023 - ACS Publications
Developing an advanced analytical method to detect spermine (Spm) and N-
acetylneuraminic acid (NANA), the biomarkers of breast and ovarian cancers, respectively …

Portable, Intelligent fluorescence sensing platform for dense convolutional network-capable detection of indophenol sulfate and methylmalonic acid using a …

Z Hu, B Yan - ACS sensors, 2023 - ACS Publications
Indophenol sulfate (IS) and methylmalonic acid (MMA) are biomarkers of chronic kidney
disease (CKD) and diabetes polyneuropathy (DPN), respectively. Portable and accurate …

Intelligent luminescent microneedle and hydrogel patches for visual monitoring of lactic acid and dopamine

A Maimaiti, K Zhu, B Yan - Chemical Engineering Journal, 2024 - Elsevier
Dopamine (DA) and lactic acid (LA) are vital biochemical indicators of neurotransmitters and
tissue oxidation monitoring, which can comprehensively assess the neurological and …

Ultra-Chaos: A Great Challenge for Machine Learning and AI

Y Yang, S Liao - International Journal of Bifurcation and Chaos, 2024 - World Scientific
Machine Learning (ML) is highly data dependent. But all data contain noise. Especially for
chaotic systems, due to the famous “butterfly-effect”, small disturbances can grow …

Biologically Realistic Computational Primitives of Neocortex Implemented on Neuromorphic Hardware Improve Vision Transformer Performance

A Iqbal, H Mahmood, G Stuart, G Fishell, S Honnuraiah - bioRxiv, 2024 - biorxiv.org
Understanding the computational principles of the brain and replicating them on
neuromorphic hardware and modern deep learning architectures is crucial for advancing …