Fast simulation of identity-by-descent segments. [PDF]
Bull Math BiolTemple SD, Browning SR, Thompson EA.
europepmc +1 more source
Studies on the Loquat Canker 1, The relation between disbudding, pruning and disease development
, 1971 Akira Morita
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The Influence of Summer Pruning and Fruit Cropping on the Carbohydrate, Nitrogen, and Nutrient Composition of Apple Trees [PDF]
, 1986 B.H. Taylor, David C. Ferree
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Neurodegenerative and Neurodevelopmental Roles for Bulk Lipid Transporters VPS13A and BLTP2
Movement Disorders, EarlyView.Abstract Background Bridge‐like lipid transfer proteins (BLTPs) mediate bulk lipid transport at membrane contact sites. Mutations in BLTPs are linked to both early‐onset neurodevelopmental and later‐onset neurodegenerative diseases, including movement disorders.
Sarah D. Neuman +4 more
wiley +1 more source
A Lightweight Approach to Comprehensive Fabric Anomaly Detection Modeling. [PDF]
Sensors (Basel)Cui S, Liu W, Li M.
europepmc +1 more source
Growth and Fruiting Responses of ‘Redspur Delicious’ Apple Trees to Pruning Treatments [PDF]
, 1983 W. Lord, Richard A. Damon
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Neural Mechanisms of Object Location Memory in Huntington's Disease
Movement Disorders, EarlyView.ABSTRACT Background Object‐location memory impairment in Huntington's disease (HD) occurs from premanifest period and declines as HD progresses, however, pathogenesis of object‐location memory is unknown. The striatum and hippocampus are affected in HD, functionally interacting allowing intact object‐location memory.
Yifat Glikmann‐Johnston +4 more
wiley +1 more source
Lightweight obstacle detection for unmanned mining trucks in open-pit mines. [PDF]
Sci RepLiu G, Lei J, Guo Z, Chai S, Ren C.
europepmc +1 more source
Influence of Rootstock and Pruning on Productivity, Growth, and Fruit Size of European Plum Cultivars [PDF]
, 1987 G. Tehrani, S. J. Leuty
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International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT The advancement of artificial intelligence (AI) in material design and engineering has led to significant improvements in predictive modeling of material properties. However, the lack of interpretability in machine learning (ML)‐based material informatics presents a major barrier to its practical adoption.
Bokai Liu +3 more
wiley +1 more source