scholarly journals Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

Author(s):  
Fajie Yuan ◽  
Xiangnan He ◽  
Alexandros Karatzoglou ◽  
Liguang Zhang
HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 484b-484
Author(s):  
Tatiana Boluarte ◽  
R.E. Veilleux

Genes for anther culture response (ACR) need to be mapped to enable efficient transfer of the trait to unresponsive but agronomically desirable clones. The objective of this study was to find extremes for ACR in a segregating population to target genes controlling this trait using bulk segregant analysis. Populations resulting from backcrosses (BC) of a diploid interspecific clone [CP2: Solanum chacoense (chc: low ACR) and S. phureja (phu: high ACR)] to both parents were used to characterize two phases of androgenesis in a preliminary study: microspore embryogenesis and embryo regeneration. Among 24 plants from each BC, consistently high- and low-responding genotypes with regard to embryo production were identified. Low ACR clones in each BC produced from 0.0–0.1 embryos per anther (EPA), whereas high ACR clones in the chc and phu BC produced from 1.4–2.9 and 2.8–7.5 EPA, respectively. The frequency of embryos regenerating into plants ranged from 3% to 20% for the chc high EPA clones and 12% to 64% for the phu high EPA clones. Ploidy of regenerated plants was determined by flow cytometry. The frequency of monoploid regenerants among the high EPA clones ranged from 3.6% to 68%. Since these populations showed sufficient genetic variation for ACR, a series of statistically designed experiments were conducted to develop high and low ACR bulks. From four groups of phenotypically characterized PBC plants, a high ACR bulk (–x = 4.9 EPA; n = 14) and a low ACR bulk (–x = 0.12 EPA; n =9) were constructed.


Author(s):  
Bamshad Mobasher ◽  
Styliani Kleanthous ◽  
Michael Ekstrand ◽  
Bettina Berendt ◽  
Jahna Otterbacher ◽  
...  
Keyword(s):  

2020 ◽  
pp. 1-1
Author(s):  
Xiaolin Chen ◽  
Xuemeng Song ◽  
Siwei Cui ◽  
Tian Gan ◽  
Zhiyong Cheng ◽  
...  

Science ◽  
2020 ◽  
Vol 370 (6517) ◽  
pp. 678.6-679
Author(s):  
Ian S. Osborne
Keyword(s):  

1983 ◽  
Vol 34 (3) ◽  
pp. 431 ◽  
Author(s):  
DJ Griffiths ◽  
L Thinh

In the symbiotic association between the prokaryotic green alga Prochloron and three didemnid host species (Diplosoma similis, Lissoclinum bistratum, Trididemnum cyclops), between 6 and 51 % of the total carbon fixed during exposure for 1 h to H14CO3- in the light (150 �E m-2 s-1) becomes associated with the host tissue. Dark fixation of 14CO2 in these ascidian species and in Lissoclinum punctatum never exceeds 6% of photosynthetic fixation at saturating light intensity. The corresponding values for dark fixation of 14CO2 in isolated Prochloron cells fall within the same range. There is very little excretion of photosynthate from whole colonies of the above ascidian species nor from Didemnum molle, Lissoclinum voeltzkowi and Trididemnum miniatum (usually less than 1 % of total photosynthate at saturation light intensity), suggesting an efficient transfer mechanism from Prochloron to host. Evidence from pulse-chase experiments suggests that transfer probably involves the early products of photosynthesis. The extent of transfer of photosynthate between Prochloron and T. cyclops varies with the rate of photosynthetic 14CO2 fixation into the whole colony but there is some transfer even at low light intensities, which strongly limit photosynthesis.


Author(s):  
Andre F. Ribeiro

AbstractWe present an approach for the prediction of user authorship and feedback behavior with shared content. We consider that users use models of other users and their feedback to choose what to publish next. We look at the problem as a game between authors and audiences and relate it to current content-based user modeling solutions with no prior strategic models. As applications, we consider the large-scale authorship of Wikipedia pages, movies and food recipes. We demonstrate analytic properties, authorship and feedback prediction results, and an overall framework to study content authorship regularities in social media.


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