maxRgain—An R Package for Maximising Genetic Gains in Polyclonal Selection
ABSTRACT Polyclonal selection, which was developed in the context of ancient grapevine varieties, uses intravarietal variability to improve the resilience and sustainability of viticulture. Based on quantitative genetics and linear mixed models, this approach predicts genotypic effects to select a group of clones that, as a whole, satisfy target ...
Sónia Surgy +2 more
wiley +1 more source
Explainable machine learning for breast cancer prediction in resource-constrained settings: A multi-algorithmic framework integrating shap-based transparency with clinical decision support. [PDF]
Bamodu OA, Nezam S, Chung CC.
europepmc +1 more source
Re‐Imagining Regulatory Governance
ABSTRACT This paper invites the readers to rethink regulatory governance by examining how trust‐based and rule‐based governance interact. To do this, it uses analytical narratives of three fictional polities: “Trustland”, “Regland”, and “Concordia”. Each polity represents a stylized model of governance: Trustland is anchored in trust‐based governance ...
David Levi‐Faur
wiley +1 more source
ABSTRACT Two major tasks in applications of hidden Markov models are to (i) compute distributions of summary statistics of the hidden state sequence, and (ii) decode the hidden state sequence. We describe finite Markov chain imbedding (FMCI) and hybrid decoding to solve each of these two tasks.
Zenia Elise Damgaard Bæk +3 more
wiley +1 more source
Integrated continuous berth allocation with time-invariant specific quay crane assignment using a mixed-integer model and greedy genetic algorithm. [PDF]
Zhou Y, Cheng X, Cao Y.
europepmc +1 more source
Computational Modeling of Decision Making Enhances the Adversity Researcher's Toolbox
Abstract Over the past decades, there has been major progress in our understanding of how adversity influences cognitive abilities and strategies. However, most of this research is based on raw performance, such as response times and accuracy. These measures are informative about decision‐making outcomes but tell us little about cognitive processes. In
Stefan Vermeent +2 more
wiley +1 more source
Algorithm-hardware co-design of neuromorphic networks with dual memory pathways. [PDF]
Sun P +5 more
europepmc +1 more source
Abstract Acute mountain sickness (AMS) affects many individuals ascending to high altitude annually, carrying potential morbidity and mortality risks (e.g., high‐altitude cerebral oedema). The objective of this pilot study was to record overnight pulse oximetry during ascent to 4554 m and determine whether: (1) extracted overnight biomarkers had any ...
Luke Cutts +7 more
wiley +1 more source
Improving end-bearing capacity prediction of rock-socketed shafts using Gaussian-augmented optimized extreme gradient boosting models. [PDF]
Khatti J, Fissha Y, Cheepurupalli NR.
europepmc +1 more source
Narrow Windows: Estimating the Household‐Level Opportunity for Roth Conversions
ABSTRACT Roth conversions are frequently recommended for near‐retirees, but few households meet the structural conditions that make conversion worthwhile. Using the Survey of Consumer Finances (SCF), this study applies sequential screens—age 55–72, pre‐tax balances ≥$250k$$ \ge \$250\mathrm{k} $$, income headroom, nonaccount liquidity, and ...
Christopher G. Reddick
wiley +1 more source

