scholarly journals University of New Hampshire Center for Ocean Renewable Energy (CORE) Infrastructure Enhancements

2019 ◽  
Author(s):  
Martin Wosnik
Keyword(s):  
Renewable Energy ◽  
New Hampshire ◽  
Ocean Renewable Energy ◽  
University Of New Hampshire

scholarly journals American–Japanese Expedition to Hokkaido to Collect Berry Crops in 2004

HortScience ◽  
2006 ◽  
Vol 41 (4) ◽  
pp. 993A-993 ◽  
Author(s):  
Kim E. Hummer ◽  
Tom Davis ◽  
Hiroyuki Iketani ◽  
Hiroyuki Imanishi
Keyword(s):  
United States ◽  
Genetic Resources ◽  
New Hampshire ◽  
Plant Genetic Resources ◽  
The United States ◽  
United States Department ◽  
Department Of Agriculture ◽  
Berry Crops ◽  
The University ◽  
University Of New Hampshire

Genetic resources of temperate berry crops were collected 7 to 27 July 2004 in Hokkaido, Japan, under a bilateral agreement between the United States and Japan. This expedition was a collaborative effort between the United States Department of Agriculture (USDA), the Japanese Ministry of Agriculture, Forestry and Fisheries (MAFF), the University of New Hampshire, and Akita Prefectural College of Agriculture, Japan. Additional assistance was provided by the Hokkaido Governmental Plant Genetic Resources Center, several Forest Research Stations of the Hokkaido University, and private botanists. The expedition obtained 100 accessions encompassing eight genera and 29 species. In all, 84 seedlots, and 23 plants were obtained. The genera collected included: Actinidia, Fragaria, Lonicera, Morus, Ribes, Rubus, Sambucus, and Vaccinium. Plant and seed accessions from this trip are preserved and distributed from the USDA ARS National Clonal Germplasm Repository in Corvallis, Ore., and from MAFF. The target genus for this expedition was Fragaria, so the trip was planned for July. Multiple samples of the two Japanese diploid strawberry species, Fragaria iinumae Makino and F. nipponica Makino (synonym = F. yezoensis H. Hara) were obtained during their prime ripening time. Ribes, Rubus, and Vaccinium fruits ripened later in the summer, but were collected when fruit were observed. Unfortunately, seeds of some of these accessions proved to be immature or nonviable upon extraction. We suggest that expeditions to collect these genera should be planned for late August. Morphological and molecular evaluation of collected germplasm is underway at the USDA ARS Corvallis Repository and at the University of New Hampshire.

scholarly journals Suitable Locations of Ocean Renewable Energy (ORE) in Indonesia Region – GIS Approached

2015 ◽  
Vol 65 ◽  
pp. 230-238 ◽  
Author(s):  
Noir P. Purba ◽  
Jaya Kelvin ◽  
Rona Sandro ◽  
Syahrir Gibran ◽  
Resti A.I. Permata ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Ocean Renewable Energy

Differences between Smoking and Nonsmoking College Students in Their Attitudes on Tobacco Smoking

1981 ◽  
Vol 11 (3) ◽  
pp. 261-274 ◽  
Author(s):  
Ronald E. Shor ◽  
Daniel C. Williams ◽  
R. Michael Latta ◽  
Lance K. Canon ◽  
Marilyn B. Shor
Keyword(s):  
College Students ◽  
New Hampshire ◽  
Tobacco Smoking ◽  
Considerable Heterogeneity ◽  
Item Content ◽  
Attitudes Toward Smoking ◽  
The University ◽  
University Of New Hampshire

The purpose of this investigation was to study whether smokers and nonsmokers hold systematically different attitudes on tobacco smoking. Twenty-seven smoking-related Likert type attitude items were selected for analysis from a longer questionnaire that had been administered to sixty-one smoking and 246 nonsmoking college students at the University of New Hampshire. Both smokers and nonsmokers expressed highly similar unfavorable attitudes toward smoking but nonsmokers expressed those attitudes more strongly. With few exceptions the findings were found to hold over a considerable heterogeneity of item content. The hypothesis was generated that if investigators seek to find differences between smokers' and nonsmokers' attitudes that diverge from neutrality or uncertainty in different directions, they will for the most part fail. However, if they seek to find differences in the strength of such attitudes that are in the same direction of divergence, they will for the most part succeed.

Weather Window Analysis in Connection With Operation and Maintenance of Ocean Renewable Energy Devices

2016 ◽  
Author(s):  
Tomoki Taniguchi ◽  
Shigesuke Ishida ◽  
Toshifumi Fujiwara ◽  
Shunji Inoue
Keyword(s):  
Renewable Energy ◽  
Wave Height ◽  
Waiting Time ◽  
Wave Condition ◽  
Persistence Probability ◽  
Window Analysis ◽  
Operation And Maintenance ◽  
Japanese Coast ◽  
Ocean Renewable Energy ◽  
Operational Probability

There is an increasing need for utilization of ocean renewable energy (ORE) around Japanese coast because Japan is surrounded by ocean. Because technologies for harnessing ORE have not been mature enough, Japanese government selects some demonstration sites for ORE devices and some demonstration projects are going. As these projects are progressed, the operation and maintenance (O&M) activities will increase and become essential factors for the success of demonstration projects. Hence, weather window analysis is required to quantify the levels of access for ORE devices in the demonstration projects, and commercial projects in the future. In this paper, two new parameters are proposed in order to evaluate accessibility to ORE devices. One is the operational probability, and the other is the forecasted waiting time. The operational probability assesses weather duration with considering variability of wave condition. The forecasted waiting time is an expectation value of waiting time before O&M planners get next chance to arrange the O&M activities. In order to check the effectivity of the proposed 2 parameters, accessibility is evaluated for significant wave height in terms of the 2 proposed parameters, these are • Operational probability • Forecasted waiting time and 3 conventional parameters, these are • Excess probability • Persistence probability • Waiting time between windows The accessibility is evaluated at two locations along the Japanese coast. This study reveals that large differences are caused between persistence probability and operational probability when operational wave height limit occurs intermittently and required window length is long. The forecasted waiting time has the same variation tendency as the waiting time between windows.

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