121 research outputs found
DFSeer: A visual analytics approach to facilitate model selection for demand forecasting
Selecting an appropriate model to forecast product demand is critical to the
manufacturing industry. However, due to the data complexity, market uncertainty
and users' demanding requirements for the model, it is challenging for demand
analysts to select a proper model. Although existing model selection methods
can reduce the manual burden to some extent, they often fail to present model
performance details on individual products and reveal the potential risk of the
selected model. This paper presents DFSeer, an interactive visualization system
to conduct reliable model selection for demand forecasting based on the
products with similar historical demand. It supports model comparison and
selection with different levels of details. Besides, it shows the difference in
model performance on similar products to reveal the risk of model selection and
increase users' confidence in choosing a forecasting model. Two case studies
and interviews with domain experts demonstrate the effectiveness and usability
of DFSeer.Comment: 10 pages, 5 figures, ACM CHI 202
Interplay between phosphorylation and palmitoylation mediates plasma membrane targeting and sorting of GAP43.
Phosphorylation and lipidation provide posttranslational mechanisms that contribute to the distribution of cytosolic proteins in growing nerve cells. The growth-associated protein GAP43 is susceptible to both phosphorylation and S-palmitoylation and is enriched in the tips of extending neurites. However, how phosphorylation and lipidation interplay to mediate sorting of GAP43 is unclear. Using a combination of biochemical, genetic, and imaging approaches, we show that palmitoylation is required for membrane association and that phosphorylation at Ser-41 directs palmitoylated GAP43 to the plasma membrane. Plasma membrane association decreased the diffusion constant fourfold in neuritic shafts. Sorting to the neuritic tip required palmitoylation and active transport and was increased by phosphorylation-mediated plasma membrane interaction. Vesicle tracking revealed transient association of a fraction of GAP43 with exocytic vesicles and motion at a fast axonal transport rate. Simulations confirmed that a combination of diffusion, dynamic plasma membrane interaction and active transport of a small fraction of GAP43 suffices for efficient sorting to growth cones. Our data demonstrate a complex interplay between phosphorylation and lipidation in mediating the localization of GAP43 in neuronal cells. Palmitoylation tags GAP43 for global sorting by piggybacking on exocytic vesicles, whereas phosphorylation locally regulates protein mobility and plasma membrane targeting of palmitoylated GAP43
What Drives the Productive Efficiency of a Firm? The Importance of Industry, Location, R&D, and Size
- …