Can classification strategies improve automated cervical vertebral maturation staging? A comparative study. [PDF]
Lee SY, Ryu J, Kim YH, Lee YS, Jung SK.
europepmc +1 more source
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Sleep, Physical Activity, and Mood Among People Seeking Mental Health Care.
Kulshreshtha A +4 more
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Dose-Dependent Effects of Selenium Methionine Supplementation on Functional, Structural, and Physiological Characteristics of Rooster Semen During Liquid Storage at 25 °C. [PDF]
Arif A +8 more
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Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Effects of phytogenic feed additive on growth performance, gut health, and antioxidant capacity in broiler chickens challenged with pathogenic Eimeria tenella. [PDF]
Lee JH +9 more
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Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley +1 more source
Effects of LED light spectra and intensity on winter citrus nursery production. [PDF]
Bisi RB +3 more
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The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Rubber seed cake supplementation alters meat quality, intestinal health, and gut microbiota in Hu sheep. [PDF]
Zhao H +5 more
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