1,780 research outputs found
Dais cotinifolia Linnaeus 1762
No full text<p> <b>Dais cotinifolia</b> Linnaeus, <i>Species Plantarum</i>, ed. 2, 1: 556. 1762.</p> <p>"Habitat ad Cap. b. spei." RCN: 3066.</p> <p> Lectotype (Peterson in Polhill, <i>Fl. Trop. E. Africa, Thymelaeaceae</i>: 16. 1978): Herb. Linn. No. 554.1 (LINN).</p> <p> Generitype of <i>Dais</i> Linnaeus.</p> <p> Current name: <i> <i>Dais cotinifolia</i> L. (Thymelaeaceae).</i></p> <p> <i>Note:</i> Fuchs in <i>Acta Bot. Neerl.</i> 11: 74. 1962) argued that as Linnaeus’ description came from David van Royen, an illustration of the plant from Leiden, published later by Meerburg, should be the holotype. This could have been an effective neotypification (Art. 9.8) but for the existence of original material (Herb. Linn. 554.1, LINN), subsequently designated as type by Peterson.</p>Published as part of <i>Jarvis, Charlie, 2007, Chapter 7: Linnaean Plant Names and their Types (part D), pp. 474-489 in Order out of Chaos. Linnaean Plant Types and their Types, London :Linnaean Society of London in association with the Natural History Museum</i> on page 474, DOI: <a href="http://zenodo.org/record/291971">10.5281/zenodo.291971</a>
Alumni Campaign Dinner, Dais Table
No full textAlumni and Elizabeth J. Carbon, Cooper Union Business Officer, seated at dais table. Left to right: Dean Herbert F. Roemmele, obscured unidentified individual, Douglas Y. Smith (1927), Miss Carbon, Benjamin Gross (1912), unidentified individual, unidentified individual, John P. O'Reilly (1930).image/tif; 100-138 Hotel Commodore.tif; 31,480,530 bytesHP Scanjet 8300; 600ppi; 8-bit grayscaleMitsuko Brook
DAIS System Performance, First Results from the 1995 Evaluation Campaigns
No full textSince early 1995 DLR's Institute for Optoelectronics is operating the DAIS-7915. This new imaging spectrometer covers the electromagnetic spectrum from the visible to the thermal infrared wavelength region. The sensor has been calibrated in the laboratory and was flown on board DLR's Do-228 aircraft. Between May 1995 and November 1995 almost 100 airborne scenes were acquired. The data collected during these campaigns were intended to prove the validity of laboratory calibration, to support the improvement of the instrument and of the data processing and evaluation facility and to show the application potential of imaging spectroscopy with the DAIS. This paper will present first results describing the laboratory calibration and inflight validation in the 0.4-2.5 µm wavelength region as well as some data quality aspects. 1. INTRODUCTION The 79-channel Digital Airborne Imaging Spectrometer (DAIS-7915or DAIS), was built by GER Corp. (Chang et al., 1993) and funded by the European Union and..
Timing of Single-Tooth Implant Rehabilitation and Periapical Inflammation Severity: A Retrospective Study Using the DAIS System
No full textObjective: This retrospective study investigated the relationship between the timing of single-tooth implant-supported restorations—including the interval from tooth extraction and socket preservation to implant placement and final prosthetic restoration—and the severity of periapical inflammation, as classified by the Dental Apical Inflammation Score (DAIS). Methods: A total of 87 patients were included (DAIS 1: 8; DAIS 2: 14; DAIS 3: 1; DAIS 4: 64). Procedural intervals (extraction, socket preservation, implant placement, and prosthetic restoration) were analyzed alongside histological assessment of periapical inflammation. Clinical parameters such as tooth location, endodontic treatment status, patient age, and sex were examined using ANOVA, chi-square tests, and Pearson’s correlation analysis. Results: An effective sample size of N = 86 (excluding the single DAIS 3 case) was included in the parametric analysis. No significant differences in procedural timing were found across DAIS groups for the intervals between extraction and implant placement (F(2, 83) = 0.338, p = 0.714) or restoration (F(2, 83) = 1.016, p = 0.367). Tukey’s HSD post hoc analysis showed no pairwise group differences. Histological diagnosis was not significantly associated with DAIS (χ2(6) = 7.00, p = 0.321), though small subgroup sizes warrant interpretive caution. A significant association was identified between DAIS score and tooth location (χ2(3) = 11.79, p = 0.008). Patient age showed a weak but significant positive correlation with DAIS (r = 0.222, p = 0.039). No significant associations were found for endodontic status (χ2(3) = 2.54, p = 0.468) or sex (χ2(3) = 2.63, p = 0.452). Histological assessment revealed that most specimens represented radicular cysts with varying proportions of acute and chronic inflammatory infiltrates, consistent with the DAIS classification. Conclusions: Procedural timing did not significantly differ between DAIS groups. However, the observed associations with tooth location and patient age may warrant further investigation into their potential relevance for treatment planning. These findings suggest that implant timing may not need to be substantially modified according to DAIS severity alone, but that anatomical site and patient age should be considered during clinical decision-making
Distributed Applications and Interoperable Systems (DAIS 2008)
No full textThis volume contains the proceedings of DAIS 2008, the 8th IFIP International Conference on Distributed Applications and Interoperable Systems. The conference was held in Oslo, Norway during June 4-6, 2008 as part of the DisCoTec (Distributed Object Techniques) federated conference, in conjunction with the 10th International Conference on Coordination Models and Languages (COORDINATION) and the 10th IFIP International Conference on Formal Methods for Open Object-Based Distributed Systems (FMOODS). The conference was sponsored by IFIP (International Federation for Information Processing) and was organized by the IFIP Working Group 6.1
Spectral emissivity and temperature maps of the Solfatara crater from DAIS hyperspectral images
No full textQuantitative maps of surface temperature and spectral emissivity have been retrieved on the Solfatara crater at Pozzuoli (Naples) from remote sensing hyperspectral data. The present study relies on thermal infrared images collected on July 27, 1997 by the DAIS hyperspectral sensor owned by the German aerospace center (DLR). The Emissivity Spectrum Normalization method was used to make temperature and emissivity estimates. Raw data were previously transformed in radiance and corrected for the atmospheric contributions using the MODTRAN radiative transfer code and the sensor response functions. During the DAIS flight a radiosonde was launched to collect the atmospheric profiles of pressure, temperature and humidity used as input to the code. Retrieved temperature values are in good agreement with temperature measurements performed in situ during the campaign. The spectral emissivity map was used to classify the image in different geo-mineralogical units with the Spectral Angle Mapper method. Areas of geologic interest were previously selected using a mask obtained from an NDVI image calculated with two channels of the visible (red) and the near infrared respectively
High Resolution-magic Angle Spinning NMR Study of Olive Leaves
No full textIn recent years HR-MAS 1H NMR spectroscopy has proven to be a useful tool for the rapid determination of the metabolic profile of several solid and semisolid foods, such as fruits and vegetables, cheese and meat. Olive leaves are today recognized as direct sources of bioactive compounds and natural antioxidants (flavonoids, secoiridoids) suitable as food additives, and their extracts form the basis of beauty care products and pharmaceutical supplements. Thus, olive leaves are emerging as a new and potentially important product for olive tree growing regions. In this report we present the application of 1H and 13C HR-MAS 1D and 2D NMR spectroscopy for the characterization and analysis of triterpenoids in solid olive leaves using CDCl3 for locking. Our data show that HR-MAS NMR spectroscopy is a powerful tool for the direct compositional analysis of triterpenoids in olive leaves without the need for any sample pretreatment or solvent extraction steps
Johnson C. Smith University president Rufus P. Perry on the dais at commencement, 1960
No full textPhotograph of Dr. Perry on the dais at commencement. Attached note reads ""Dr. Perry presides at the 1960 Commencement. From left to right, Academic Dean T. E. McKinney, alumnus William J. Trent, Dr. Perry and Board Chairman Walter L. Moser."
Spectral emissivity and temperature maps of the Solfatara crater from DAIS hyperspectral images
No full textQuantitative maps of surface temperature and spectral emissivity have been retrieved on the Solfatara crater at Pozzuoli (Naples) from remote sensing hyperspectral data. The present study relies on thermal infrared images collected on July 27, 1997 by the DAIS hyperspectral sensor owned by the German aerospace center (DLR). The Emissivity Spectrum Normalization method was used to make temperature and emissivity estimates. Raw data were previously transformed in radiance and corrected for the atmospheric contributions using the MODTRAN radiative transfer code and the sensor response functions. During the DAIS flight a radiosonde was launched to collect the atmospheric profiles of pressure, temperature and humidity used as input to the code. Retrieved temperature values are in good agreement with temperature measurements performed in situ during the campaign. The spectral emissivity map was used to classify the image in different geo-mineralogical units with the Spectral Angle Mapper method. Areas of geologic interest were previously selected using a mask obtained from an NDVI image calculated with two channels of the visible (red) and the near infrared respectively
Spectral emissivity and temperature maps of the Solfatara crater from DAIS hyperspectral images
No full textQuantitative maps of surface temperature and spectral emissivity have been retrieved on the Solfatara crater at
Pozzuoli (Naples) from remote sensing hyperspectral data. The present study relies on thermal infrared images
collected on July 27, 1997 by the DAIS hyperspectral sensor owned by the German aerospace center (DLR). The
Emissivity Spectrum Normalization method was used to make temperature and emissivity estimates. Raw data
were previously transformed in radiance and corrected for the atmospheric contributions using the MODTRAN
radiative transfer code and the sensor response functions. During the DAIS flight a radiosonde was launched to
collect the atmospheric profiles of pressure, temperature and humidity used as input to the code. Retrieved temperature
values are in good agreement with temperature measurements performed in situ during the campaign.
The spectral emissivity map was used to classify the image in different geo-mineralogical units with the Spectral
Angle Mapper method. Areas of geologic interest were previously selected using a mask obtained from an
NDVI image calculated with two channels of the visible (red) and the near infrared respectively.JCR Journalope
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