Results 231 to 240 of about 457,473 (310)

Relative Strength Variability Measures for Brain Structural Connectomes and Their Relationship With Cognitive Functioning. [PDF]

Hum Brain Mapp
Yeung HW, Buchanan CR, Moodie J, Deary IJ, Tucker-Drob EM, Bastin ME, Whalley HC, Smith KM, Cox SR.   +8 more
europepmc   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Khovanov Laplacian and Khovanov Dirac for knots and links. [PDF]

J Phys Complex
Jones B, Wei GW.
europepmc   +1 more source

Host‐Guest Inclusion Chemistry From Supramolecular Architecture Enabling Anti‐Biofouling Surfaces for Oesophagus Stents

Advanced Functional Materials, EarlyView.
A slippery coating with exceptional anti‐biofouling performance is developed using biocompatible materials for oesophagus stents. Host‐guest inclusion complex formation capabilities of FDA‐approved supramolecules, cyclodextrins are exploited, which significantly enhances the stability of the surface.
Jianhui Zhang, Haowei Wang, Sourabh Dogra, Xiaoye Zhao, Wenqing Chen, Arpan Gupta, Manish K. Tiwari, Vikramjeet Singh   +7 more
wiley   +1 more source

Preoperative prognostic assessment using intratumoral and peritumoral adipose tissue radiomics derived from contrast-enhanced CT in cT3-4 gastric cancer. [PDF]

Front Oncol
Lu C, Pan D, Shan X, Dai R, Liu B, Wang Z, Wang X.   +6 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Comprehensive evaluation of primary health care service capacity in China based on TOPSIS and RSR methods. [PDF]

Front Public Health
Wang L, Li F, Jiang S, Xia J.
europepmc   +1 more source

Role of Crosslinking and Backbone Segmental Dynamics on Ion Transport in Hydrated Anion‐Conducting Polyelectrolytes

Advanced Functional Materials, EarlyView.
Thermally crosslinked poly(2‐vinylpyridine)‐based anion conducting polyelectrolytes have been synthesized. The segmental dynamics of these polyelectrolytes have been systematically modified by varying the degree of crosslinking. Both the experimental and simulation results indicate that segmental dynamics have a limited influence on ion transport in ...
Zhongyang Wang, Kai Wang, Christopher Eom, Yuxi Chen, Ge Sun, Mincheol Kim, Joan M. Montes de Oca, Dongyue Liang, Kushal Bagchi, Shrayesh N. Patel, Juan J. de Pablo, Paul F. Nealey   +11 more
wiley   +1 more source

Systematic benchmarking of computational methods to identify spatially variable genes. [PDF]

Genome Biol
Li Z, M Patel Z, Song D, Yasa SN, Cannoodt R, Yan G, Li JJ, Pinello L.   +7 more
europepmc   +1 more source

Multifunctional, Flexible and Interactive PVDF Fibers with Tunable Conductivity via CNT Coatings for Sensing and Smart Textile Applications

Advanced Functional Materials, EarlyView.
A two‐step fabrication strategy combines electrospinning with electrophoretic deposition of carbon nanotubes to produce conductive, porous PVDF fiber mats. These flexible composites serve as multifunctional sensors, capable of detecting pressure, motion, respiration, and temperature.
Michał Kopacz, Piotr K. Szewczyk, Elżbieta Długoń, Krzysztof Berniak, Jacek Nizioł, Piotr Jeleń, Maciej Sitarz, Urszula Stachewicz   +7 more
wiley   +1 more source