Circular 51

Introduction -- Table 1. Climatic Data for the Fairbanks Growing Season: 1983, 1984,and the Long-Term Average -- Table 2. Broccoli Variety Trials, Upland, 1984 -- Table 3. Brussels Sprouts Variety Trials, Upland, 1984 -- Table 4. Cabbage Variety Trials, Upland, 1984 -- Table 5. Carrot Variety Trials, Bottomland, 1984 -- Table 6. Cauliflower Variety Trials, Upland, 1984 -- Table 7. Celery Variety Trials, Upland, 1984 -- Table 8. Cucumber Variety Trials, Upland, 1984 -- Table 9. Eggplant Variety Trials, Upland, 1984 -- Table 10. Green Pea Variety Trials, Upland, 1984 -- Table 11. Crisphead Lettuce Variety Trials, Bottomland, 1984 -- Table 12. Pepper Variety Trials, Upland, 1984 -- Table 13. Potato Variety Trials, Bottomland, 1984 -- Table 14. Pumpkin Variety Trials, Upland, 1984 -- Table 15. Snapbean Variety Trials, Upland, 1984 -- Table 16. Summer Squash Variety Trials, Upland, 1984 -- Table 17. W inter Squash Variety Trials, Upland, 1984 -- Table 18. Sweet Corn Variety Trials, Upland, 1984 -- Table 19. Tomato Variety Trials, Upland, 1984 -- Table 20. Container Tomato Variety Trials, 1984 -- Table 21. Miscellaneous Vegetables Tested -- Seed Source

Circular 48

This report summarizes the vegetable-variety evaluations of the Horticulture Department of the University of Alaska, Fairbanks, 1983. Variety trials were all conducted at the Agricultural Experiment Station's research farm at Fairbanks. The objective of this research is to select varieties of vegetables that are adapted to this environment. It also identifies types whose adaptability may be improved through development of improved cultural techniques. The selection effort is directed at finding varieties useful to both the commercial growers and home gardeners.Introduction -- Table 1: Climatic Data for the Fairbanks Growing Season: 1982, 1983 and the Long-Term Average -- Table 2: Broccoli Variety Trials, Upland, 1983 -- Table 3: Brussels Sprouts Variety Trials, Upland, 1983. -- Table 4: Cabbage Variety Trials, Upland, 1983 -- Table 5: Carrot Variety Trials, Bottomland, 1983 -- Table 6: Cauliflower Variety Trials, Upland, 1983 -- Table 7: Celery Variety Trials, Upland, 1983 -- Table 8: Cucumber Variety Trials, Upland, 1983 -- Table 9: Egplant Variety Trials, Upland, 1983 -- Table 10: Green Pea Variety Trials, Bottomland, 1983 -- Table 11: Crisphead Lettuce Variety Trials, Bottomland, 1983 -- Table 12: Pepper Variety Trials, Upland, 1983 -- Table 13: Potato Variety Trials, Bottomland Peat, 1983 -- Table 14: Pumpkin Variety Trials, Upland, 1983 -- Table 15: Snapbean Variety Trials, Upland, 1983 -- Table 16: Summer Squash Variety Trials, Upland, 1983 -- Table 17: Winter Squash Variety Trials, Upland, 1983 -- Table 18: Sweet Corn Variety Trials, Upland, 1983 -- Table 19: Tomato Variety Trials, Upland, 1983 -- Table 20: Container Tomato Variety Trials, 1983 -- Table 21: Miscellaneous Vegetables Tested -- Seed Source

Circular 43

This report summarizes the vegetable variety evaluations of the Horticulture Department of the University of Alaska, Fairbanks, 1982. Variety trials were all conducted at the Agricultural Experiment Station’s research farm at Fairbanks. The objective of this research is to select varieties of vegetables that are adapted to this environment. It also identifies types whose adaptability may be improved through development of improved cultural techniques. The selection effort is directed at finding varieties useful to both the commercial growers and home gardeners.Introduction -- Table 1:Climatic Data for the Fairbanks Growing Season: 1981, 1982, and the Long-Term Average -- Table 2: Broccoli Variety Trials, Upland, 1982 -- Table 3: Brussels Sprouts Variety Trials, Upland, 1982 -- Table 4: Cabbage Variety Trials, Upland, 1982 -- Table 5: Carrot Variety Trials, Bottomland, 1982 -- Table 6: Cauliflower Variety Trials, Upland, 1982 -- Table 7: Celery Variety Trials, Upland, 1982 -- Table 9: Eggplant Variety Trials, Upland, 1982 -- Table 10: Green Pea Variety Trials, Bottomland, 1982 -- Table 11: Crisphead Lettuce Variety Trials, Bottomland, 1982 -- Table 12: Pepper Variety Trials, Upland, 1982 -- Table 13: Potato Variety Trials, Bottomland Peat, 1982 -- Table 14: Pumpkin Variety Trials, Upland, 1982 -- Table 15: Snapbean Variety Trials, Upland, 1982 -- Table 16: Summer Squash Variety Trials, Upland, 1982 -- Table 17: Winter Squash Variety Trials, Upland, 1982 -- Table 18: Sweet Corn Variety Trials, Upland, 1982 -- Table 19: Tomato Variety Trials, Upland, 1982 -- Table 20: Container Tomato Variety Trials, 1982 -- Table 12: Miscellaneous Vegetables Tested -- Seed Source

Circular 55

This report summarizes evaluations of vegetable varieties conducted by the Horticultural Research Program of the University of Alaska-Fairbanks. The objective of this research is to select varieties of vegetables that are adapted to the environment of interior Alaska. Vegetable crops whose adaptability may be improved through development of improved cultural techniques are also identified. The selection effort is directed at finding varieties useful to both commercial growers and home gardeners. Varieties are chosen for inclusion in the variety tests on the basis of their description, the latitude of origin, and the record of the plant-breeding programs for producing kinds that have previously been found adapted. Standard recommended varieties are included in the trials for comparison.Introduction -- Weather Summary, 1985 -- Table 1. Climatic Data for the Fairbanks Growing Season: 1984, 1985, and the Long-Term Average -- Figure 1. Daily Weather Data, May through September, 1985, University Experiment Farm, Fairbanks, AK -- Table 2. Artichoke Variety Trial, 1985 -- Table 3. Carrot Variety Trials, Bottomland, 1985 -- Table 4. Celery Variety Trials, 1985 -- Table 5. Eggplant Variety Trials, 1985 -- Table 6. Broccoli Variety Trials, 1985 -- Table 7. Brussels Sprouts Variety Trials, 1985 -- Table 8. Cauliflower Variety Trials, 1985 -- Table 9. Crisphead Lettuce Variety Trials, Bottomland, 1985 -- Table 10. Green Pea Variety Trials, 1985 -- Table 11. Pepper Variety Trials, 1985 -- Table 12. Potato Variety Trials, Bottomland, 1985 -- Table 13. Slicing Cucumber Variety Trials, 1985 -- Table 14. Summer Squash Variety Trials, 1985 -- Table 15. Sweet Corn Variety Trials, 1985 -- Table 16. Mulched Tomato Variety Trials, 1985 -- Table 17. Unmulched Tomato Variety Trials, 1985 -- Table 18. Container Tomato Variety Trials, 1985 -- Table 19. Winter Squash Variety Trials, 1985 -- Table 20. Pumpkin Variety Trials, 1985 -- Table 21. Miscellaneous Vegetable Trials -- Seed Source

CES P-143

This report summarizes the vegetable variety evaluations of the Horticulture Department of the University of Alaska, Fairbanks, 1979. Variety trials were conducted at the Agricultural Experiment Station’s research farm. The objective of this research is to select varieties of vegetables that are adapted to this environment. It also identifies types whose adaptability may be improved through development of cultural techniques. The selection effort is directed at finding varieties useful to commercial and home garden growers.Varieties are chosen for inclusion in the variety tests on the basis of their description, their latitude of origin, and the record o f the plant-breeding program for producing kinds that have previously been found adapted. Standard recommended varieties are included for comparison. In the past, the vegetable variety evaluation program has been responsible for a continuous improvement in yields, quality, and dependability for many vegetable crops. Our philosophy is to depend upon the many existing plant-breeding programs instead of investing in an expensive, on-site, plant-breeding program . Progress can be made more rapidly by selection than by breeding.Introduction -- Growing-Season Summary: Table 1: Rainfall by Month During the 1979 Growing S e a s o n; Table 2: Broccoli Variety Trials, Upland, 1979; Table 3: Cabbage Variety Trials, Upland, 1 9 79; Table 4: Carrot Variety Trials, Bottom land, 1979; Table 5: Cauliflower Variety Trials, Upland, 1979; Table 6: Cucumber Variety Trials, Upland, 1979; Table 7: Green Pea Variety Trials, 1979; Table 8: Lettuce Variety Trials, Bottom land, 1979; Table 9: Pepper Variety Trials, Upland, 1979; Table 10: Potato Variety Trials, Bottom land, 1979; T able 11: Pumpkin Variety Trials, Upland, 1979; Table 12: Snapbean Variety Trials, 1979; Table 13: Squash, Summer Variety Trials, Upland, 1979; Table 14: Squash, Winter Variety Trials, Upland, 1979; Table 15: Sweet Corn Variety Trials, Upland, 1979; Table 16: Tomato Variety Trials, Upland, 1979; Table 17: Tomato Variety Trials Without Plastic Mulch, Upland, 1979; Miscellaneous Vegetables Tested; Seed Sources

Numerical Simulations of Pinhole and Single Mode Fibre Spatial Filters for Optical Interferometers

We use a numerical simulation to investigate the effectiveness of pinhole spatial filters at optical/IR interferometers and to compare them with single-mode optical fibre spatial filters and interferometers without spatial filters. We show that fringe visibility measurements in interferometers containing spatial filters are much less affected by changing seeing conditions than equivalent measurements without spatial filters. This reduces visibility calibration uncertainties, and hence can reduce the need for frequent observations of separate astronomical sources for calibration of visibility measurements. We also show that spatial filters can increase the signal-to-noise ratios of visibility measurements and that pinhole filters give signal-to-noise ratios within 17% of values obtained with single-mode fibres for aperture diameters up to 3r_0. Given the simplicity of the use of pinhole filters we suggest that it represents a competitive, if not optimal, technique for spatial filtering in many current and next generation interferometers.Comment: 7 pages, 7 postscript figures. Accepted by MNRA

Markers of inflammation and bone remodelling associated with improvement in clinical response measures in psoriatic arthritis patients treated with golimumab

<p>Objective To determine serum biomarker associations with clinical response to golimumab treatment in patients with psoriatic arthritis (PsA).</p> <p>Methods GO–REVEAL was a randomised, placebo-controlled study of golimumab in patients with active PsA. Samples were collected from 100 patients at baseline, week 4 and week 14, and analysed for serum-based biomarkers and protein profiling (total 92 markers); data were correlated with clinical measures at week 14.</p> <p>Results Serum levels of a subset of proteins (apolipoprotein C III, ENRAGE, IL-16, myeloperoxidase, vascular endothelial growth factor, pyridinoline, matrix metalloproteinase 3, C-reactive protein (CRP), carcinoembryonic antigen, intercellular adhesion molecule 1 and macrophage inflammatory protein 1α) at baseline or week 4 were strongly associated with American College of Rheumatology 20% improvement (ACR20) response and/or disease activity score in 28 joints (DAS28) at week 14. A smaller subset of proteins was significantly associated with a 75% improvement in the psoriasis area and severity index score (PASI75) at week 14, (adiponectin, apolipoprotein CIII, serum glutamic oxaloacetic transaminase, and tumour necrosis factor α). Subsets of proteins were identified as potentially predictive of clinical response for each of the clinical measures, and the power of these biomarker panels to predict clinical response to golimumab treatment was stronger than for CRP alone.</p> <p>Conclusions This analysis provides insight into several panels of markers that may have utility in identifying PsA patients likely to have ACR20, DAS28, or PASI75 responses following golimumab treatment.</p&gt

Finding co-solvers on Twitter, with a little help from Linked Data

In this paper we propose a method for suggesting potential collaborators for solving innovation challenges online, based on their competence, similarity of interests and social proximity with the user. We rely on Linked Data to derive a measure of semantic relatedness that we use to enrich both user profiles and innovation problems with additional relevant topics, thereby improving the performance of co-solver recommendation. We evaluate this approach against state of the art methods for query enrichment based on the distribution of topics in user profiles, and demonstrate its usefulness in recommending collaborators that are both complementary in competence and compatible with the user. Our experiments are grounded using data from the social networking service Twitter.com