ABSTRACT Aquaculture intensification is increasingly constrained by high water demand, nutrient‐rich effluents and disease risk, increasing interest in biofloc technology (BFT) as a waste‐recycling, low‐exchange production model. However, BFT performance depends strongly on the carbon source used to adjust the carbon‐to‐nitrogen (C/N) ratio and ...
Mavindu Muthoka +6 more
wiley +1 more source
Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka +2 more
wiley +1 more source
Psychosocial Burden in Parents of Pediatric Liver Transplant Recipients. [PDF]
Suren S +4 more
europepmc +1 more source
On the Meaning of Localization in Non‐Local Quantum Field Theory
In non‐local quantum field theory nature does not necessarily allow objects or events to be localized to exact mathematical points. Instead any physical measurement has a built‐in finite resolution set by the non‐locality scale. Spacetime remains continuous and Lorentz‐covariant, but below this scale pointlike localization becomes an idealization ...
E. J. Thompson
wiley +1 more source
Exploring small-world brain connectivity in aging and its relationship with cognitive reserve. [PDF]
Pappalettera C +13 more
europepmc +1 more source
Tests for Categorical Data Beyond Pearson: A Distance Covariance and Energy Distance Approach
ABSTRACT Categorical variables are of uttermost importance in biomedical research. When two of them are considered, it is often the case that one wants to test whether or not they are statistically dependent. We show weaknesses of classical methods—such as Pearson's and the G$G$‐test—and we propose testing strategies based on distances that lack those ...
Fernando Castro‐Prado +4 more
wiley +1 more source
Development and validation of clinical prediction models for personalized renal function monitoring in people with heart failure in primary care: the RENAL-HF study protocol. [PDF]
Vincent-Paulraj A +9 more
europepmc +1 more source
Causal Effect Estimation With TMLE: Handling Missing Data and Near Violations of Positivity
ABSTRACT We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivity violations. We employ model‐ and design‐based simulations, with the latter using undersmoothed highly adaptive lasso on the “WASH Benefits Bangladesh” data set to ...
Christoph Wiederkehr +2 more
wiley +1 more source
Cross-sectional study of maternal iodine nutrition and salt iodization in Kyrgyzstan: urban-rural and socioeconomic factors. [PDF]
Chyngyshpaeva I +4 more
europepmc +1 more source
HPV‐Adjusted Feature Screening With FDR Control in Head and Neck Cancer
ABSTRACT Human papillomavirus (HPV) is a well‐established prognostic factor in head and neck (HN) cancer, with HPV‐positive patients exhibiting markedly better survival outcomes compared to their HPV‐negative counterparts. While advances in (cancer) genomics have been pivotal to precision medicine, existing gene screening methods for identifying ...
Atika Farzana Urmi +2 more
wiley +1 more source

