2,366 research outputs found
Growing Sweetcorn in Alaska's Cool Environments
Sweet corn can be grown in
Alaska's cool environments by employing
clear polyethylene mulch to
raise soil temperatures.
Rows should be run north and
south, spaced about 5 feet apart for
4-foot wide mulch.
Weeds can be controlled under
clear polyethylene mulch by spraying
with atrazine after seeding and
before mulching
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
Cryogenic liquid level measuring probe
Universal probe, which contains a unique frequency discriminator, measures the static and dynamic levels of cryogenic liquids in a hydrogen bubble chamber. The probe allows boiling conditions or other turbulence to be observed throughout all the transition stages
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
Audio Caption: Listen and Tell
Increasing amount of research has shed light on machine perception of audio
events, most of which concerns detection and classification tasks. However,
human-like perception of audio scenes involves not only detecting and
classifying audio sounds, but also summarizing the relationship between
different audio events. Comparable research such as image caption has been
conducted, yet the audio field is still quite barren. This paper introduces a
manually-annotated dataset for audio caption. The purpose is to automatically
generate natural sentences for audio scene description and to bridge the gap
between machine perception of audio and image. The whole dataset is labelled in
Mandarin and we also include translated English annotations. A baseline
encoder-decoder model is provided for both English and Mandarin. Similar BLEU
scores are derived for both languages: our model can generate understandable
and data-related captions based on the dataset.Comment: accepted by ICASSP201
Circular 35
Revised April 1991 by Grant E.M. Matheke, Patricia J. Wagner, and Patricia S. Holloway;
Reprinted by Cooperative Extension Service, University of Alaska Fairbanks, and U.S.D.A. Cooperating. Publication 300C-00235A technique for growing high-yielding, everbearing strawberries with
clear polyethylene (plastic) mulch and row covers has been developed at
the Agricultural and Forestry Experiment Station at Fairbanks. This
technique eliminates the long delay from planting to fruiting that occurs
with other culture systems and it has created an interest in commercial
production and an increased home-garden effort in Alaska.
The production system involves planting nursery plants each season as
early as possible through clear polyethylene mulch, using row covers for
the early part o f the season. Using this technique, harvest begins about
July 15 and extends until freeze-up, com pared to a production season
from about July 10 to July 28 for hardy types o f strawberries such as
Toklat or Pioneer. This system produces clean fruit, easy to pick and
relatively free from fruit rot. The harvest season can be extended in the
fall by again using the row covers for frost protection
Instrumentation and Evaluation of Distributed Computations
Distributed computations are a very important aspect of modern computing, especially given the rise of distributed systems used for applications such as web search, massively multiplayer online games, financial trading, and cloud computing. When running these computations across several physical machines it becomes much more difficult to determine exactly what is occurring on each system at a specific point in time. This is due to each server having an independent clock, thus making event timestamps inherently inaccurate across machine boundaries. Another difficulty with evaluating distributed experiments is the coordination required to launch daemons, executables, and logging across all machines, followed by the necessary gathering of all related output data. The goal of this research is to overcome these obstacles and construct a single, global timeline of events from all servers. We employ high-resolution clock synchronization to bring all servers within microseconds as measured by a modified version of the Network Time Protocol implementation. Kernel and user-level events with wall-clock timestamps are then logged during basic network socket experiments. These data are then collected from each server and merged into a single dataset, sorted by timestamp, and plotted on a timeline. The entire experiment, from setup to teardown to data collection, is coordinated from a single server. The timeline visualizations provide a narrative of not only how packets flow between servers, but also how kernel interrupt handlers and other events shape an experiment's execution
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