Results 111 to 120 of about 5,871 (248)
A comprehensive suite for extracting neuron signals across multiple sessions in one-photon calcium imaging. [PDF]
Vergara P+15 more
europepmc +1 more source
Genetic Heterogeneity of Residual Variance for Foot Score Traits in American Angus Cattle
ABSTRACT Foot conformation is one of the main breeding goals in recent beef cattle breeding programs because it directly affects productivity, economic losses, animal welfare and longevity. Genetic heterogeneity of residual variance can be used to improve production uniformity in animal breeding programs because recent studies have shown that residual ...
Sabrina T. Amorim+4 more
wiley +1 more source
Sequential Reservoir Computing for Log File‐Based Behavior Process Data Analyses
Abstract The use of process data in assessment has gained attention in recent years as more assessments are administered by computers. Process data, recorded in computer log files, capture the sequence of examinees' response activities, for example, timestamped keystrokes, during the assessment.
Jiawei Xiong+8 more
wiley +1 more source
Pra‐GE‐ATLAS: Empowering Pinus radiata stress and breeding research through a multi‐omics database
Gymnosperms represent molecular and ecological diversity hotspots, yet they remain understudied due to limited community resources. To address this gap, the P(inus)ra(diata)‐G(ene)E(xpression)‐ATLAS provides a refined multi‐omics platform for Pinus radiata that advances conifer research and facilitates the evaluation of conserved plant molecular ...
Víctor Roces+3 more
wiley +1 more source
Pragmatic soft-decision data readout of encoded large DNA. [PDF]
Ge Q+5 more
europepmc +1 more source
Abstract Numerous cyanobacterial strains previously identified as Scytonema hyalinum were determined to be phylogenetically distant from the type species of Scytonema, S. hofmannii. Morphological and molecular evidence suggests this distinct clade necessitates placement in a new genus, and we have described Kalymmatonema gen. nov. herein. Kalymmatonema
Markéta Bohunická+5 more
wiley +1 more source
Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction. [PDF]
Shinde UU, Bandaru R.
europepmc +1 more source
Quantum LDPC Codes Based on Cocyclic Block Matrices. [PDF]
Li Y, Guo Y.
europepmc +1 more source
ABSTRACT The prediction of extreme events in time series is a fundamental problem arising in many financial, scientific, engineering, and other applications. We begin by establishing a general Neyman–Pearson‐type characterization of optimal extreme event predictors in terms of density ratios.
Victor Verma, Stilian Stoev, Yang Chen
wiley +1 more source