Results 221 to 230 of about 24,785 (302)

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Improving coastal safety for international visitors to Australia. [PDF]

Public Health Pract (Oxf)
Koon WA, Brander RW, Lawes JC, Peden AE.
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Far From Help: Exploring the Influence of Regional and Remote Residence on Coastal Visitation and Participation, Risk Perception and Safety Knowledge and Practices. [PDF]

Aust J Rural Health
Pratt EG, Peden AE, Lawes JC.
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

TDP-43-dependent mis-splicing of KCNQ2 triggers intrinsic neuronal hyperexcitability in ALS/FTD. [PDF]

Nat Neurosci
Joseph BJ, Marshall KA, Harley P, Mann JR, Alessandrini F, Vanoye CG, Chi W, Prudencio M, Simkin D, Kao TT, Desai RR, Keuss MJ, Barattucci S, Zanovello M, Mehta PR, DeKeyser JM, Limone F, Lee J, Brown AL, Leyton-Jaimes MF, Nash LA, Juan IGS, Aronica E, Wainger BJ, Shah M, Goswami A, Shneider NA, Dickson DW, Burrone J, Zhang C, Wichterle H, Petrucelli L, Watts JK, George AL, Fratta P, Eggan K, Kiskinis E.   +36 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Table of Contents [PDF]

, 2018

core   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Understanding mariners' tsunami information needs and decision-making contexts: A post-event case study of the 2022 Tonga eruption and tsunami. [PDF]

iScience
Harrison SE, Lawson RV, Kaiser L, Potter SH, Johnston D.   +4 more
europepmc   +1 more source