PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement
We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang +4 more
wiley +1 more source
Mental health in parents of very preterm infants at 12 months: Influential variables and profiles
Abstract Objective The goal was to explore the influence of clinical and developmental variables of the infant on the mental health of parents at12 months corrected age of very preterm babies. Background There is no agreement on whether all parents of preterm infants need the same specialized attention in the neonatal intensive care unit and during ...
María Merced Barbancho‐Morant +4 more
wiley +1 more source
Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas +9 more
wiley +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Degraded expression of learned feedforward control in movements released by startle. [PDF]
Wright ZA +3 more
europepmc +1 more source
Targeting and Effectiveness of Location‐Based Policies
ABSTRACT This paper provides new insights into the design of effective location‐based policies. In the context of European regional policy, we apply machine learning algorithms to predict regions likely to underutilize EU funding and identify the main determinants of their low absorptive capacity.
Vincenzo Carrieri +3 more
wiley +1 more source
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
ABSTRACT Solanum tuberosum L. (potato) is a key food crop, with its tubers serving as an important food source worldwide. Tuber development is a tightly regulated process involving the transition of a hooked stolon (a modified stem) to a tuber following the perception of mobile signals within the stolon tip. While genes like FLOWERING LOCUS T homologue
Dionne Martin +2 more
wiley +1 more source
Modeling human visuomotor adaptation with a disturbance observer framework. [PDF]
Sharma G +4 more
europepmc +1 more source
WRKY Transcription Factors: Integral Regulators of Defence Responses to Biotic Stress in Crops
ABSTRACT Crops are continually challenged by biotic stresses, including fungal, bacterial and viral pathogens and insect pests, which cause substantial yield and quality losses worldwide. WRKY transcription factors constitute a plant‐specific and functionally diverse family that is central to immune regulation.
Dongjiao Wang +8 more
wiley +1 more source

