Results 131 to 140 of about 26,836,972 (345)

Fluorophobic Effect Enables Selective Detection of PFAS in Water with Electrolyte‐Gated Organic Transistors

Advanced Functional Materials, EarlyView.
PerFluoroAlkyl Substances (PFAS) are responsible of major and persistent environmental pollution worldwide. This work demonstrates an ultra‐sensitive sensor for PFAS based on an organic transistor whose gate is functionalized with a binary self‐assembled monolayer containing a perfluorinated molecule.
Rian Zanotti, Marcello Berto, Matteo Sensi, Alessandro Paradisi, Eleonora Veronese, Lucia Pasquato, Carlo Augusto Bortolotti, Pierangelo Metrangolo, Fabio Biscarini   +8 more
wiley   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

A Mathematical Approach of Voltage Sag Analysis Incorporating Bivariate Probability Distribution in a Meshed System [PDF]

, 2022
Jagannath Patra, Nitai Pal
openalex   +1 more source

The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties

Advanced Functional Materials, EarlyView.
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe, Paloma X. Lee, Caterina Czibula, Mónica G. Simões, Reiner Bleher, Keith E. Duncan, Michael Thoman, Christopher N. Topp, Vinayak P. Dravid, Cécile A. C. Chazot   +9 more
wiley   +1 more source

Unlocking the Full Potential of MgAgSb by Unravelling the Interrelation of Phase Constitution and Thermoelectric Properties

Advanced Functional Materials, EarlyView.
Persistent secondary phases govern the performance of many thermoelectric materials, particularly of high performance MgAgSb. In this study advanced microstructural characterization for unequivocal phase identification combined with transport modeling and statistical analysis enabled the quantification of each phase's impact, revealing the most ...
Amandine Duparchy, Frederic Kreps, Eckhard Müller, Johannes de Boor   +3 more
wiley   +1 more source

Meta Analysis: The Effect of Using Mathematics Learning Media to Students’ Mathematical Abilities.

, 2023
Winda Lestari, Muliawan Firdaus
openalex   +1 more source

Oxygen Evolution Reaction by Ni‐Hexacyanoferrates Nanocubes Integrated with Trigonal Selenium: Effect, Properties and Performances

Advanced Functional Materials, EarlyView.
This work describes a novel approach to obtain composite submicrometric structures of nickel hexacyanoferrate integrating trigonal selenium with the aim of enhancing the catalytic efficiency in oxygen evolution reaction (OER). Interestingly, the nanostructures undergo a cube‐to‐sphere transition that optimizes surface properties, leading to superior ...
Edlind Lushaj, Tofik Ahmed Shifa, Kassa Belay Ibrahim, Alessio Bertocco, Kamran Akbar, Isabel Barroso‐Martín, Antonia Infantes‐Molina, Enrique Rodríguez‐Castellón, Alberto Vomiero, Elisa Moretti, Federico Polo   +10 more
wiley   +1 more source

The Extreme Value Support Measure Machine for Group Anomaly Detection

Mathematics
Group anomaly detection is a subfield of pattern recognition that aims at detecting anomalous groups rather than individual anomalous points. However, existing approaches mainly target the unusual aggregate of points in high-density regions. In this way,
Lixuan An, Bernard De Baets, Stijn Luca
doaj   +1 more source

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

Advanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán, Janis Timoshenko, Andrea Martini, Hyo Sang Jeon, Eduardo Ortega, Martina Rüscher, Arno Bergmann, Aram Yoon, Uta Hejral, Antonia Herzog, Clara Rettenmaier, Felix T. Haase, Philipp Grosse, Beatriz Roldan Cuenya   +13 more
wiley   +1 more source

Characterization of Loss-of-Imprinting in Breast Cancer at the Cellular Level by Integrating Single-Cell Full-Length Transcriptome with Bulk RNA-Seq Data

Biomolecules
Genomic imprinting, the parent-of-origin-specific gene expression, plays a pivotal role in growth regulation and is often dysregulated in cancer. However, screening for imprinting is complicated by its cell-type specificity, which bulk RNA-seq cannot ...
Muhammad Talal Amin, Louis Coussement, Tim De Meyer   +2 more
doaj   +1 more source