Results 181 to 190 of about 1,011,171 (338)

Interconnected Porous Hydrogels with Tunable Anisotropy Through Aqueous Emulsion Bioprinting

Advanced Functional Materials, EarlyView.
A 3D bioprintable microporous bioink is developed using an aqueous two‐phase system (ATPS) composed of extracellular matrix (ECM) mimetic biopolymers. The ATPS bioink enables the fabrication of interconnected porous architectures with up to 70% porosity, supporting long‐term cell viability and 3D cell alignment, enabling a simultaneous generation of ...
Hugo Edgar‐Vilar, Francisca P. Correia, Inês M. Freitas, Vítor M. Gaspar, João F. Mano   +4 more
wiley   +1 more source

A hybrid support vector machine and neural network model with fuzzy logic fusion for smart city traffic prediction. [PDF]

Sci Rep
Abbas B, Alyas T, Abbas Q, Alqahtany SS, Alghamdi T, Aljohani N, Tabassum N, Ibrahim AM.   +7 more
europepmc   +1 more source

Probing the Stability of Convolution Neural Networks and Support Vector Machines With Transmission Low Wavenumber Raman Spectroscopic Data [PDF]

Mitchell Chalmers, Keith C. Gordon, Brendan McCane, Sara J. Fraser‐Miller   +3 more
openalex   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Support Vector Machine Based Classification Model for Screening Plasmodium falciparum Proliferation Inhibitors and Non-Inhibitors

Biomedical Engineering and Computational Biology, 2011
Sangeetha Subramaniam, Monica Mehrotra, Dinesh Gupta   +2 more
doaj  

Rapid Assessment of Virtually Synthesizable Chemical Structures via Support Vector Machine Models. [PDF]

Mol Inform
Iwasaki Y, Miyao T.
europepmc   +1 more source

Enhancing Parkinson’s Diagnosis with PhonatoryVoice Analysis: Optimizing Machine LearningFeature Selection for Support Vector Machines [PDF]

Wiput Thirapanish, Pittipol Kantavat, Dittaya Wanvarie, Ekapol Chuangsuwanich, Proadpran Punyabukkana, Suppata Maytharakcheep   +5 more
openalex   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Cell Surface Thiol Engineering Mechanoregulates Myogenic Differentiation via the FAK–PI3K–AKT Axis

Advanced Healthcare Materials, EarlyView.
Schematic diagram illustrating how cell surface modification of skeletal muscle progenitor cells through TCEP treatment reveals enhanced cell adhesion, intracellular tension, and myogenesis at 19.66 kPa stiffness, leading to optimal cell fusion. In contrast, no significant changes are observed in the softer (10.61 kPa) or stiffer (49.4 kPa) matrices ...
Juyeon Kim, Sung Sik Hur, Jae Hong Park, Myung Jin Ban, Jin‐Young Kim, Joo Hyun Kim, Ji Hyae Choo, Hae‐Won Kim, Ju Hun Lee, Man Ryul Lee, Yongsung Hwang   +10 more
wiley   +1 more source

Comprehensible Credit Scoring Models using Rule Extraction from Support Vector Machines

, 2006
David Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen   +3 more
openalex   +1 more source