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A Molecular Approach to Studies of Growth and Development
K Palme,C Konez,A .Spena,J Schell 한국유전학회 1990 Genes & Genomics Vol.12 No.4
The molecular mechanisms underlying control of growth and differentiation in higher plant cells remain unknown. In order to systematically isolate and functionally characterize genes from higher plant cells involved in control of growth and differentiation, we have applied both conventional and novel strategies. We have used modern microanalytical techniques to isolate and study various auxin-binding proteins. We shall discuss the molecular structure of different putative auxin-receptor genes from Z. mays and A. thaliana. Using homology probing we have identified and isolated a series of genes involved in plant signalling processes including members of the RAS-gene family. The isolation of other genes relies on the study of different procaryotic genes known to have a marked effect on plant differentiation. These are T-DNA linked genes from A. tumefaciens and A. rhizogenes as well as genes from Rhizobiacae. Finally various gene tagging approaches will be discussed that are presently used to identify and isolated genes involved in developmental control of plants.
( Renato Jr Ong ),( Tomasito Sy ),( Patricio Palmes ) 대한내과학회 2014 대한내과학회 추계학술대회 Vol.2014 No.1
Background: The incidence of MRKH is 1 in every 4,500 female live births, while Heterotaxysyndrome occurs in 4 in every 1M live births. There was one reported case of MRKH with Hypothyroidism and one case with Hypoplastic R lung. The incidence of MRKH plus Heterotaxy syndrome with polysplenia is still unknown. MKRH with ovarian tumors revealed 5 reported cases but none of these was consistent with ovarian serous cystadenocarcinoma. There is no documented association of Heterotaxy syndrome with polysplenia and ovarian serous cystadenocarcinoma. Clinical Presentation: A 29-year old female was admitted for an appendectomy with incidental note of an unresectable retroperitoneal mass. Biopsy showed suppurative appendix and an abscess with granuloma formation. She underwent pelvic laparotomy with bilateral salpingooophorectomy at age 16 for primary amenorrhea and an absent vaginal orifi ce. Diagnostic Work Up: CBC showed anemia and persistent leukocytosis with absolute neutrophilia. There were low Na+ and K+ levels and remittent azotemia with hypoalbuminemia. TSH was high but T3 was low. Karyotyping bared normal 46,XX karyotype. Chest X-ray revealed narrowed right intercostal spaces; hyperlucent left lung with widened intercostal spaces; shifting of the trachea and mediastinum to the right; and elevated right hemidiaphragm. Chest and abdominal CT scan demonstrated structural alterations consistent with Heterotaxy syndrome; a lobulated, solid mass with areas of hypodensities and punctuate calcifi cations within the pelvic cavity. 2D-Echocardiography showed a dextro-positioned heart.Hormone panel was consistent with menopausal levels. Immunohistochemistry studies showed infi ammatory myofi broblastic tumor. Autopsy revealed ovarian serous cystadenocarcinoma. Treatment Outcome: Anemia was corrected, and intravenous antibiotics were started. Patient was discharged improved, however, eventually succumbed after 5 months.
Relating Hyperspectral Image Bands and Vegetation Indices to Corn and Soybean Yield
Jang Gab-Sue,Sudduth Kenneth A.,Hong Suk-Young,Kitchen Newell R.,Palm Harlan L. The Korean Society of Remote Sensing 2006 大韓遠隔探査學會誌 Vol.22 No.3
Combinations of visible and near-infrared (NIR) bands in an image are widely used for estimating vegetation vigor and productivity. Using this approach to understand within-field grain crop variability could allow pre-harvest estimates of yield, and might enable mapping of yield variations without use of a combine yield monitor. The objective of this study was to estimate within-field variations in crop yield using vegetation indices derived from hyperspectral images. Hyperspectral images were acquired using an aerial sensor on multiple dates during the 2003 and 2004 cropping seasons for corn and soybean fields in central Missouri. Vegetation indices, including intensity normalized red (NR), intensity normalized green (NG), normalized difference vegetation index (NDVI), green NDVI (gNDVI), and soil-adjusted vegetation index (SAVI), were derived from the images using wavelengths from 440 nm to 850 nm, with bands selected using an iterative procedure. Accuracy of yield estimation models based on these vegetation indices was assessed by comparison with combine yield monitor data. In 2003, late-season NG provided the best estimation of both corn $(r^2\;=\;0.632)$ and soybean $(r^2\;=\;0.467)$ yields. Stepwise multiple linear regression using multiple hyperspectral bands was also used to estimate yield, and explained similar amounts of yield variation. Corn yield variability was better modeled than was soybean yield variability. Remote sensing was better able to estimate yields in the 2003 season when crop growth was limited by water availability, especially on drought-prone portions of the fields. In 2004, when timely rains during the growing season provided adequate moisture across entire fields and yield variability was less, remote sensing estimates of yield were much poorer $(r^2<0.3)$.
Thermal Analysis on MnBi in High Magnetic Fields up to 45 T
Yoshifuru Mitsui,Yuki Ikehara,Kazuo Watanbe,Eun Sang Choi,Eric C. Palm,Keiichi Koyama 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.62 No.12
Differential thermal analysis (DTA) equipment for utilization in a high magnetic field of 45 T wasdeveloped. From the DTA experiments, the decomposition temperature (MnBi ! Mn1.08Bi+liquid:632 K at zero field) Tt was found to increase linearly at a rate of 2 KT−1 in fields up to 18 T andto deviate from that linear increase above 20 T. In addition, the peritectic temperature (Mn1.08Bi! Mn + liquid: 721 K at zero field) Tm was slightly increased by applying a magnetic field. At amagnetic field of 45 T, Tt and Tm reached 714 K and 726 K, respectively. The behaviors of Tt andTm for MnBi and Mn1.08Bi under high magnetic fields are discussed, and the magnetic energies arecalculated on the basis of mean field theory.
Comparison of Remote Sensing and Crop Growth Models for Estimating Within-Field LAI Variability
Hong, Suk-Young,Sudduth, Kenneth-A.,Kitchen, Newell-R.,Fraisse, Clyde-W.,Palm, Harlan-L.,Wiebold, William-J. The Korean Society of Remote Sensing 2004 大韓遠隔探査學會誌 Vol.20 No.3
The objectives of this study were to estimate leaf area index (LAI) as a function of image-derived vegetation indices, and to compare measured and estimated LAI to the results of crop model simulation. Soil moisture, crop phenology, and LAI data were obtained several times during the 2001 growing season at monitoring sites established in two central Missouri experimental fields, one planted to com (Zea mays L.) and the other planted to soybean (Glycine max L.). Hyper- and multi-spectral images at varying spatial. and spectral resolutions were acquired from both airborne and satellite platforms, and data were extracted to calculate standard vegetative indices (normalized difference vegetative index, NDVI; ratio vegetative index, RVI; and soil-adjusted vegetative index, SAVI). When comparing these three indices, regressions for measured LAI were of similar quality $(r^2$ =0.59 to 0.61 for com; $r^2$ =0.66 to 0.68 for soybean) in this single-year dataset. CERES(Crop Environment Resource Synthesis)-Maize and CROPGRO-Soybean models were calibrated to measured soil moisture and yield data and used to simulate LAI over the growing season. The CERES-Maize model over-predicted LAI at all corn monitoring sites. Simulated LAI from CROPGRO-Soybean was similar to observed and image-estimated LA! for most soybean monitoring sites. These results suggest crop growth model predictions might be improved by incorporating image-estimated LAI. Greater improvements might be expected with com than with soybean.