Results 171 to 180 of about 1,187,761 (284)

OSINT（Open-Source INTelligence）

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 2022
openaire   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Teachers' perceptions of artificial intelligence in curriculum integration: opportunities, concerns, and professional development needs. [PDF]

Front Artif Intell
Kayıran D, Sönmez M, Avcı A, Haji Mohamud RY.   +3 more
europepmc   +1 more source

Interfacial Adsorption Engineering Enables a Highly Utilized Zinc Anode With 99.9% Coulombic Efficiency

Advanced Functional Materials, EarlyView.
When hydrated zinc ions are deposited onto Cu substrates at practical current densities, the modified Cu enables simultaneously compact zinc growth and suppressed hydrogen evolution. This regulatory effect originates from the superior adsorption of the modified Cu interface, which enhances zincophilicity and the hydrogen desorption barrier, thereby ...
Zhe Zhu, Xiaoqiao Liao, Yihao Long, Mengmeng Yang, Ibrahem O. Baibars, Ruiqi Song, Zhun Shi, Liang He, Chuan Zhao   +8 more
wiley   +1 more source

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source

Artificial intelligence for research capacity strengthening: Two reviews and a pathway to shift power in global health. [PDF]

PLOS Digit Health
Wahl B, Nassiri-Ansari T, Redpath DD, Allotey P, Schwalbe N.   +4 more
europepmc   +1 more source

Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review

Advanced Healthcare Materials, EarlyView.
Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami, Yeonwoo Park, Seong Kyeong Jo, Min Hee Kim, Jae Hwang Song   +4 more
wiley   +1 more source

Artificial intelligence chatbots and idiopathic pulmonary fibrosis: are they ready to inform patients? [PDF]

Rev Assoc Med Bras (1992)
Şenel MY, Ayan E, Çolak M, Çoban H, Erel F, Sarıoğlu N.   +5 more
europepmc   +1 more source

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source

A BEACON for Novel Disease Threats: Leveraging Artificial Intelligence for Informal Event-Based Outbreak Surveillance. [PDF]

J Infect Dis
Bhadelia N, Paschalidis IC, Brownstein JS, Lassman B.   +3 more
europepmc   +1 more source