Results 261 to 270 of about 712,802 (346)

Calcium Imparts Advanced Functionalities to Silk Hydrogels for Biofabrication and Biomedical Innovation

Advanced Functional Materials, EarlyView.
The addition of calcium ions to silk fibroin enhances the hydrogel properties and, when combined with visible light crosslinking, enables compatibility with advanced light‐based fabrication techniques. Calcium ions extend the shelf‐life of silk and facilitate the fabrication of multizonal, multilayered constructs for advanced stimuli‐responsive ...
Hien A. Tran, Anton Maraldo, Chi Cong Nguyen, Trinh Thi‐Phuong Ho, Lauryn Srethbhakdi, Habib Joukhdar, Quinn van Hilst, Syamak Farajikhah, Fariba Dehghani, Thanh Nho Do, Khoon S. Lim, Jelena Rnjak‐Kovacina   +11 more
wiley   +1 more source

Correction: An improved EAE-DETR model for defect detection of server motherboard. [PDF]

Sci Rep
Chi J, Zhang K, Zhang H, Niu G, Zheng Z.
europepmc   +1 more source

Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix

Advanced Functional Materials, EarlyView.
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt, Jens Timmer, Elisabetta Ada Cavalcanti‐Adam   +2 more
wiley   +1 more source

Correction: de Lima et al. Antiviral and Virucidal Activities of <i>Uncaria tomentosa</i> (Cat's Claw) against the Chikungunya Virus. <i>Viruses</i> 2024, <i>16</i>, 369. [PDF]

Viruses
de Lima RC, Valente LMM, Familiar Macedo D, de-Oliveira-Pinto LM, Dos Santos FB, Mazzei JL, Siani AC, Nunes PCG, de Azeredo EL.   +8 more
europepmc   +1 more source

Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error correction

X. Li, Tao Liu, Antonella Bacchiocchi, Mengxing Li, Wen Cheng, Tobias Wittkop, Fernando L. Méndez, Yingyu Wang, Paul C. Tang, Qianqian Yao, Marcus Bosenberg, Mario Sznol, Qin Yan, Malek Faham, Li Weng, Ruth Halaban, Hai Jin, Zhiqian Hu   +17 more
openalex   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

A quantum-inspired, biomimetic, and fractal framework for self-healing AI code generation: bridging responsible automation and emergent intelligence. [PDF]

Front Artif Intell
Nehzati M.
europepmc   +1 more source

Toward Robust Ionic Conductivity Determination of Sulfide‐Based Solid Electrolytes for Solid‐State Batteries

Advanced Functional Materials, EarlyView.
The ionic conductivity of a solid electrolyte is just the “tip of the iceberg”. There are many parameters to consider to quantify it reliably in powdered solid electrolyte samples. Abstract All‐solid‐state batteries (ASSBs) are taking the lead as the next‐generation energy storage systems, mainly to the development of new solid electrolytes with high ...
Fariza Kalyk, Lars Pescara, Marcel Drüschler, Nella M. Vargas‐Barbosa   +3 more
wiley   +1 more source

A Corrected Score Approach for Proportional Hazards Model With Error-Contaminated Covariates Subject to Detection Limits. [PDF]

Stat Med
Song X, Wang CY.
europepmc   +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