Results 111 to 120 of about 14,405,507 (294)
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Analysis of Antibody Data Using Skew-normal and Skew-T Mixture Models
Gaussian mixture models, which assume a Normal distribution for each component, are popular in antibody (or serological) data analysis to help determining antibody-positive and antibody-negative individuals.
Tiago Dias Domingues +2 more
doaj +1 more source
Robust mixture of experts modeling using the skew $t$ distribution
arXiv admin note: substantial text overlap with arXiv:1506 ...
openaire +3 more sources
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller +3 more
wiley +1 more source
PUF/ENB microcapsules were synthesized based on a sequential factorial design and incorporated into an epoxy matrix. Their anticorrosive action, associated with the self‐healing mechanism, demonstrated that the addition of microcapsules to the coating improved anticorrosive performance compared to pure epoxy coatings, particularly when the encapsulate ...
Vandicleya Alves Moreira +6 more
wiley +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
The Beta-Hyperbolic Secant (BHS) Distribution [PDF]
The shape of a probability distribution is often summarized by the distribution's skewness and kurtosis. Starting from a symmetric parent density f on the real line, we can modify its shape (i.e.
Fischer, Matthias J., Vaughan, David
core
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou +6 more
wiley +1 more source
Flexible Bayesian semiparametric mixed-effects model for skewed longitudinal data
Background In clinical trials and epidemiological research, mixed-effects models are commonly used to examine population-level and subject-specific trajectories of biomarkers over time.
Melkamu M. Ferede +5 more
doaj +1 more source
Under NIR irradiation, PTCPP generates ROS to eliminate MRSA biofilms and promote M1 macrophage polarization for phagocytosis. After bacterial clearance, the material is phagocytosed by macrophages, shifting their polarization to M2 phenotype via metabolic reprogramming, which synergistically enhances anti‐infection therapy and wound healing.
Honghao Ma +13 more
wiley +1 more source

