Results 81 to 90 of about 113,247 (266)

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

Improved Almost-Orthogonal Neural Network for Nonlinear System Identification with Application to Anti-Lock Braking Systems

Applied Sciences
Accurate modelling of nonlinear dynamical systems remains a fundamental challenge in control engineering, particularly in applications characterized by strong nonlinearities, uncertainty, and varying operating conditions such as anti-lock braking systems
Staniša Perić, Dragan Antić, Jianxun Cui, Saša S. Nikolić, Marko Milojković, Nikola Danković   +5 more
doaj   +1 more source

In Vivo Monitoring of Thrombo‐Inflammatory Biomarkers via Molecularly Imprinted Polymer‐Integrated Hydrogel Microneedles

Advanced Materials, EarlyView.
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh, Peyman GhavamiNejad, Arash Khorrami Jahromi, Sanjana Srikant, Sripadh Guptha Yedire, Fatemeh Keyvani, Roozbeh Siavash Moakhar, Sajad Shiekh, Mackenzie Graham, Joe Quadrilatero, Mahla Poudineh, Sara Mahshid   +11 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

General Linear Models: An Integrated Approach to Statistics [PDF]

Tutorials in Quantitative Methods for Psychology, 2008
Generally, in psychology, the various statistical analyses are taught independently from each other. As a consequence, students struggle to learn new statistical analyses, in contexts that differ from their textbooks.
Andrew Faulkner, Sylvain Chartier
doaj  

Highly Entangled Bottlebrush Polymer Networks

Advanced Materials, EarlyView.
Bottlebrush polymers are difficult to entangle, enabling ultrasoft yet brittle networks. We report highly entangled bottlebrush elastomers that remain ultrasoft (∼1 kPa) yet stretch to ∼1800% and exhibit exceptional fatigue resistance. Their intrinsic fatigue strength—fatigue threshold normalized by modulus—surpasses that of highly entangled linear ...
Myoeum Kim, Baiqiang Huang, Shiwang Cheng, Li‐Heng Cai   +3 more
wiley   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Association between obesity and frailty in community⁃dwelling middle⁃aged and elderly people in China

Huli yanjiu
ObjectiveTo explore the association between general obesity,central obesity,and frailty among middle⁃aged and elderly Chinese adults.MethodsBased on data from the China Health and Retirement Longitudinal Study(CHARLS) in 2013,2015,and 2018,2 696 ...
LI Yao, XIA Min, CHEN Xiaomin, WU Yimei, ZHAO Yuqing, ZHANG Guozeng, WU Qian   +6 more
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