ABSTRACT Machine learning (ML) algorithms have been increasingly used to predict learning disability (LD) risk across various disciplines, but the effectiveness of different algorithms remains unclear. We summarize the literature on ML applications for the identification and classification of LDs using behavioral (e.g., phoneme manipulation and sound ...
Yusra Ahmed +4 more
wiley +1 more source
Nucleosome condensate and linker DNA alter chromatin folding pathways and rates. [PDF]
Qiu Y +5 more
europepmc +1 more source
A Unified Framework From Boltzmann Transport to Proton Treatment Planning
ABSTRACT We develop a unified stochastic–deterministic framework for proton transport in radiotherapy. The deterministic formulation is based on a Boltzmann–Fokker–Planck (BFP) equation with continuous slowing‐down, angular diffusion, and scattering terms, posed in a kinetic variational setting.
Andreas E. Kyprianou +2 more
wiley +1 more source
Probabilistic Forecasting for Coarse-Grained Molecular Dynamics. [PDF]
Christians LF, Wojnar A, Pak AJ.
europepmc +1 more source
MTSA-SC: A multi-task learning approach for individual trip destination prediction with multi-trajectory subsequence alignment and space-aware loss functions. [PDF]
Luo D, Zhao F, Zhou H, Wang C, Xiong H.
europepmc +1 more source
Temporal point process modeling of aggressive behavior onset in psychiatric inpatient youths with autism. [PDF]
Potter M +8 more
europepmc +1 more source
Temporal Contrastive Learning through implicit non-equilibrium memory. [PDF]
Falk MJ +3 more
europepmc +1 more source
Comprehensive Analysis of the ARF Gene Family Reveals Their Roles in Chinese Chestnut (<i>Castanea mollissima</i>) Seed Kernel Development. [PDF]
Liu X +9 more
europepmc +1 more source
Challenges and approaches in tracking and analyzing movement of ground-dwelling insects. [PDF]
Růžičková J, Elek Z.
europepmc +1 more source

