2,051 research outputs found
Endogenous opiates in the nucleus tractus solitarius (NTS) mediate electroacupuncture-induced sleep activities in rats.
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Composites of UHMWPE Fiber Reinforced PU/Epoxy Grafted Interpenetrating Polymer Networks
No full text(41(4):311-316)Physiological Studies of Rice Tillers. V. Changes in N Contents During Grain-Filling in Relation to Grain Yield
No full text本試驗以大粒型水稻品種Pegonil與中粒型品種臺農67號，及以後者為輪迴親經回交5─6次並自交6─7次且具大粒特性（千粒重為32─34g）後代品系為材料，探討單一大分蘗在抽穗後之氮素累積與利用性狀，以瞭解對產量生理的影響。試驗結果顯示回交後代BC─5之產量高於臺農67號，BC─6產量則與臺農67號相近，又以Pegonil產量最低。抽穗期葉面積及單位面積葉片氮素含量不能反應產量表現，如以抽穗期單位葉面積及單位面積葉片氮素含量為基準計算產量效率，則仍以Pegonil最低，其餘三個品種（系）間的差異較小。回交品系在抽穗後具有較高的相對累積氮素能力，顯示穀粒充實期間的氮素供需較為平衡，可能與高產潛能有關，建議為一值得利用的優良生理性狀。Pegonil及BC─6品系於抽穗期之葉片氮素、葉綠素及可溶性蛋白質濃度均高，但前者各項濃度在穀粒充實期間急速下降，後者則否，顯示不同之老化及氮素再轉移速率，應與產量表現有密切關係。二期作稻抽穗期葉片葉綠素濃度高於一期作，但可溶性蛋白質與葉綠素濃度比值則顯著以一期作為高，且產量與抽穗後18日之可溶性蛋白質與葉綠素濃度比值呈顯著之正相關，顯示穀粒充實後期之葉片供源能力對產量表現仍極重要，是在追求提高產量效率時應予注意的問題。
A medium-grain variety, Tainung No. 67, a large-grain variety, Pegonil, and one each of their BC-5 and BC-6 offsprings with grain weight of 32 and 34 mg were used in this experiment. Large tillers were sampled from heading to matrurity to examine the character. istics of N accumulation and distribution, and changes in concentrations of chlorophyll and soluble protein, for elucidating the relationship between grain yield and leaf physiological characters during the period of grain-filling. Experimental results revealed that grain yield was highest for the backcross strain BC-5 followed by Tainung No. 67, BC-6 strain, and Pegonil. N content per unit leaf area at heading was not correlated to grain yield at maturity. Yield efficiency, espressed as grain yield per unit leaf area at heading, was lowest for Pegonil, and no difference was observed among the other three genotypes. Backcross strains had higher N-accumulation ability during grain-filling as compared to the two varieties, indicating a more balanced supply and demand relationship of N, and hence higher yield potential. Pegonil and BC-6 strain had higher leaf N, chlorophyll and soluble protein concentrations at heading stage than Tainung No. 67 and BC-5 strain. However, decreases in concentrations of various N-containing compounds during grain-filling were also more pronounced for Pegonil. Chlorophyll concentration was higher for the second than for the first crop, but the ratio of soluble protein to chlorophyll concentrations were higher for the first crop rice. Grain yield was positively correlated with the ratio measured at 18 days after heading, indicating the importance of leaf photosynthetic ability during the later phase of grain-filling. Selection of genotypes possessing high soluble protein content is therefore suggested for improving the yield efficiency of rice
Studie on the yield physiology of gybrid rice. 1.Assimilate production of photoinsensitive strains in the mid-crop season
No full textHybrid rice strains Tainung Sen Hybrid (TNSH) 2, 6 and 10 and check variety Taichung Sen 10 (TCS 10) were transplanted in late May of 1989 to study characters related to photoassimilate production when cultured as a mid-season crop. Experimental results revealed active vegetable growth for all the rice materials tested as leaf area was over 6 at heading. Area of flag and second leaves consisted of more than 45% of total leaf area for the 3 hybrid strains while the value for TCS 10 was only 34%, indicating different geometric distribution of leaves within the canopy. Crop growth rate (CGR) was highest during the period from maximum tillering to heading, ranging from 186 to 240kg/ha.day. CGR of this period was higher for TNSH 2 and 6 than for TNSH 10 and TCS 10. Therefore, the former 2 hybrids exhibited higher dry matter production at heading. On the contrary, CGR was higher for TNSH 10 and TCS 10 during grain-filling, and hence possessing a more uniform growth rate throughout the whole growth course. Dry matter production after heading accounted for only 10-30% of final dry weight of the rice plant. The low ability of photoassimilate production resulted in low panicle weight. Comparison among rice variety/strains indicated that CGR of panicle during grain-filling was, respectively, 1.83 and 2.64 times higher than CGR of whole plant during the same period, suggesting an imbalance relationship between production and demand of assimilates. Although corresponding values for TNSH 10 and TCS 10 were lower (1.25 and 1.31, respectively), it also implied the development of panicle after heading depended heavily on the redistributed assimilate from preheading storge. Experimental results showed that although the leaves of hybrid strains possessed high leaf area, specific leaf weight and N content (over 1.50 g/m2) at heading, they failed to produce efficiently enough assimilates to support the needs of panicle development. This phenomenon was particularly true for TNSH 2 and 6, and was attributed to as one of the major causes of low yielding performance. As vegetative growth of hybrid strains in the mid-crop was considered over-active, a lower planting density was also suggested
Cloud Computing for brain segmentation technology
Full text linkThis paper introduces the brain segmentation technology offered by Cloud Computing. It explains eleven APIs associated with each brain segment, as well as the process of capturing data in regard to each segment. Functionality and experiments associated with each API are discussed. Dancing is chosen because data related to fast and skilled movements can be captured more easily. The results captured for each brain segment are discussed and used to explain why some segments are more active in dancing. With an emphasis in testing to ensure a high quality of data analysis and visualization, eleven Cloud APIs can produce results quickly, accurately and effectively. Simulations for brain segmentations can be used by Medical Cloud Computing Education (MCCE). Results of analysis confirms that Cloud Computing can offer 20% improvement in learning satisfaction. Benefits of using Cloud brain segmentation technology are presented. The use of Cloud Computing can make positive impacts to healthcare informatics and education
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