Results 131 to 140 of about 108,835 (244)

Optimal hyperdimensional representation for learning and cognitive computation. [PDF]

Front Artif Intell
Poduval PP, Errahmouni Barkam H, Liu X, Yun S, Ni Y, Zou Z, Bastian ND, Imani M.   +7 more
europepmc   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Quantum-entangled neuro-symbolic swarm federation for privacy-preserving IoMT-driven multimodal healthcare. [PDF]

Sci Rep
Ben Othman S, Ali O.
europepmc   +1 more source

Mechanical and Electrical Phenotype of hiPSC‐Cardiomyocytes on Fibronectin‐Based Hydrogels

Advanced Healthcare Materials, EarlyView.
We introduce fibronectin‐based PEG hydrogels with controlled rigidity to enable the culture of iPSC‐derived cardiomyocytes. These substrates offer an alternative to the current culture of these cells on fibronectin‐coated glass, providing enhanced structural and functional behavior. The system provides a more physiologically relevant platform to assess
Ana Da Silva Costa, Lineta Stonkute, Sara Trujillo, Mariana Azevedo Gonzalez Oliva, Francis Burton, Matthew J. Dalby, Oana Dobre, Godfrey Smith, Manuel Salmeron‐Sanchez   +8 more
wiley   +1 more source

The future of fundamental science led by generative closed-loop artificial intelligence. [PDF]

Front Artif Intell
Zenil H, Tegnér J, Abrahão FS, Lavin A, Kumar V, Frey JG, Weller A, Soldatova L, Bundy AR, Jennings NR, Takahashi K, Hunter L, Dzeroski S, Briggs A, Gregory FD, Gomes CP, Rowe J, Evans J, Kitano H, King R.   +19 more
europepmc   +1 more source

SiO2‐CaOCME/Poly(Tetrahydrofuran)/Poly(Caprolactone) 3D‐Printed Scaffolds Drive Human‐Bone Marrow Stromal Cell Osteogenic Differentiation

Advanced Healthcare Materials, EarlyView.
3D printed hybrid scaffolds combining bioactive silica–calcium chemistry with elastic polymers guide human bone stem cells to form bone. The scaffolds support cell survival, organization, and invasion while releasing osteogenic ions. Together, architecture and composition drive bone‐specific gene expression, extracellular matrix organization, and ...
David R. Sory, Agathe C.M. Heyraud, Julian R. Jones, Sara M. Rankin   +3 more
wiley   +1 more source

Computer-assisted construction of Ramanujan-Sato series for 1 over π. [PDF]

Ramanujan J
Hemmecke R, Paule P, Radu CS.
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

Artificial Intelligence agents for biological research: a survey. [PDF]

Brief Bioinform
Qi C, Wang W, Jiang S, Liu Q, Song X, Fang H, Wei Z.   +6 more
europepmc   +1 more source

Modeling cognitive processes within a creative problem-solving task : from symbolic to neuro-symbolic approaches in computational learning sciences

Integrating transversal skills such as creativity, problem solving and computational thinking, into the primary and secondary curricula is a key challenge in today’s educational field. We postulate that teaching and assessing transversal competencies could benefit from a better understanding of the learners’ behaviors in specific activities that ...
openaire   +1 more source