967 resultados para 2nd Row Occupant


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Top Row: Pat Shaw, Tim Bell, Sam Duran, Mark Foster, Phil Stotz, Dave Heikkinen, Lynn Dobosy, Bob Maistros.

5th Row: Randy Foss, John McHugh, Mark Conner, Doug Hennigar, Mike McMahon, Tom Schmidt, John Risk, Dave Furst.

4th Row: Wally Barnowski, Mark Bohlke, Jay Anstaett, Jim Stokes, Jeff Swanson, Bill Schaeffer, James Grace, Bob Scheper.

3rd Row: Bill Donakowski, Andy Johnson, Abe Butler, Rob Lytle, Greg Meyer, Mike McGuire, st. mngr. Mike D'Agostino, trainer Len Paddock.

2nd Row: asst. coach Ron Warhurst, asst. coach Greg Syphax, Ed Kulka, Kevin Briggs, George Przygodski, Terry Hart, Steve Thiry, Quincy Evans, Jeff McLeod.

Front Row: Geoff LePlatte, Jesse Myers, Doug Gibbs, Bob Mills, head coach Jack Harvey, Jim Howe, Jim Simpson, Dave Williams, Jon Cross.

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Front Row, L-R: Andrea McDonald, Kelly Carfora, Beth Wymer, Heather Kabnick, Dianna Ranelli; Lauren LaBranche

2nd Row: May May Leung, Li Li Leung

Row 3: Wendy Marshall, Autumn Donati, Tina Miranda,

Top Row: Debbie Berman, Carrie Zickus

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Front Row: Molly Lori, Katy Hollbacher, Jackie Concaugh, Jennifer Barber, Michelle Spannagel, Ebony McClain, Monika Black, Tearza Johnson, Tanya Broad, Julie Copley, Amy Parker, Christie Wilson

2nd Row: Trainer Jean Lett, Abbie Schaefer, Jen Stuht, Debbie Mans, Jessica Kluge, Chris Szabo, Jayna Greiner, Kelly Chard, Ronda Meyers, Mayrie Richards, Linda Stuck, Kathy Tomko, Theresa Hall, Christi Foster, Tanya Clay, Bryn Gerich

3rd Row: Rachel Mann, Karen Harvey, Courtney Babcock, Colette Savage, Laura Jerman, Alexis Collins, Richelle Webb

4th Row: Kristine Westerby, Kristi Wink, Amy Buchholz, Lisa Adams Top Row: Molly McClimon, Julie Victor

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Top Row: Leo Cunningham, James Grissen, Joseph Bosza, Ralph Fritz, Robert Ingalls, Harry Anderson, Norman Call

5th Row: Harlin Fraumann, Milko Sukup, Robert Westfall, Robert Zimmerman, Edward Czak, Clifford Wise, Harold Lockard, Robert Kolesar, George Hildebrandt

4th Row: Rudolph Sengel, Albert Wistert, Reuben Kelto, Jack Butler, Tom Harmon, Holbrooke Seltzer, Glen Ireland, George Ceithaml

3rd Row: William Melzow, John Laine, Joseph Rogers, Paul Gannatal, Harry Kohl, Wallace Keating, Philip Sharpe, Rudy Smeja

2nd Row: Charles Schmeling, David Nelson, Michael Megregian, Fred Dawley, John Karwales, Louis Woytek, Clarence Hall, Robert Flora

Front Row: Frank Day, Robert Smith, Larry Wichter. Ted Kennedy, Forest Evashevski, Robert Kresja, Otto Chady, Elmer Madar

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Top Row: Ted Kress, Dave Williams, William McKinley, Larry Cox, Dave Hill, Dick Kolesar, Van Schoick, Earl Johnson, Bob Ames.

6th Row: Tony Branoff, Ed Hickey, Don Bennett, Dick Vorenkamp, Tom Hendricks, Doug Murray, Charles Ritter, Mike Orend, Carl Kamhout, Jim Kirby, Joe Krahl.

5th Row: Don Dugger, Jack Wheeler, Wilbur Brown, Jerry Gonser, Bob Sriver, Jim Bates, Ray Donohoe, Dick Strozewski, Dave Rentschler, John Kuchka, George Corey, Phil Endres.

4h Row: Gerry Williams, Gordon Barnes, Edgar Meads, Charles Krahnke, Fred Baer, Stanley Knickerbocker, Jim Fox, John Peckham, John Morrow, Dick Rex, Coach J. T. White.

3rd Row: Coach Don Robinson, Don Drake, Joe Shomsky, Lou Baldacci, Salvatore DiMucci, George Dutter, Ray Kenaga, George Muellich, Jim Bowman, Ted Cachey, Coach Bill Orwig.

2nd Row: Cliff Keen, Dean Ludwig, Duncan McDonald, Ken Shields, Peri Gagalis, Pete Wolgast, Bob Milligan, Ron Geyer, Dick Beison, Dan Cline, Art Walker, Coach Matt Patanelli.

Front Row: Wally Weber, John Veselenak, Tad Stanford, Gene Knutson, Dick Balzhiser, Captain Dick O'Shaughnessy; Head Coach Bennie Oosterbaan; Bob Marion, Bob Topp, Ray VanderZeyde, Ron Williams, Jim Balog, Jack Blott.

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3rd row, 3rd from left = Kenneth Russell Smoot; 2nd row, 3rd from right = Frederick Somers Bell

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Back Row: Jack A. Green, William W. Hannan, David DeTar, Charles A. Mitchell, Frank Reed, Albert S. Pettit

2nd Row: Irving K. Pond, Tom R. Edwards, John Chase, Charlie H. Campbell

Front Row: Collins H. Johnson, Richard Guy Depuy, Edmund Barmore

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Using a desorption/ionization technique, easy ambient sonic-spray ionization coupled to mass spectrometry (EASI-MS), documents related to the 2nd generation of Brazilian Real currency (R$) were screened in the positive ion mode for authenticity based on chemical profiles obtained directly from the banknote surface. Characteristic profiles were observed for authentic, seized suspect counterfeit and counterfeited homemade banknotes from inkjet and laserjet printers. The chemicals in the authentic banknotes' surface were detected via a few minor sets of ions, namely from the plasticizers bis(2-ethylhexyl)phthalate (DEHP) and dibutyl phthalate (DBP), most likely related to the official offset printing process, and other common quaternary ammonium cations, presenting a similar chemical profile to 1st-generation R$. The seized suspect counterfeit banknotes, however, displayed abundant diagnostic ions in the m/z 400-800 range due to the presence of oligomers. High-accuracy FT-ICR MS analysis enabled molecular formula assignment for each ion. The ions were separated by 44 m/z, which enabled their characterization as Surfynol® 4XX (S4XX, XX=40, 65, and 85), wherein increasing XX values indicate increasing amounts of ethoxylation on a backbone of 2,4,7,9-tetramethyl-5-decyne-4,7-diol (Surfynol® 104). Sodiated triethylene glycol monobutyl ether (TBG) of m/z 229 (C10H22O4Na) was also identified in the seized counterfeit banknotes via EASI(+) FT-ICR MS. Surfynol® and TBG are constituents of inks used for inkjet printing.

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Since 2000, the southwestern Brazilian Amazon has undergone a rapid transformation from natural vegetation and pastures to row-crop agricultural with the potential to affect regional biogeochemistry. The goals of this research are to assess wavelet algorithms applied to MODIS time series to determine expansion of row-crops and intensification of the number of crops grown. MODIS provides data from February 2000 to present, a period of agricultural expansion and intensification in the southwestern Brazilian Amazon. We have selected a study area near Comodoro, Mato Grosso because of the rapid growth of row-crop agriculture and availability of ground truth data of agricultural land-use history. We used a 90% power wavelet transform to create a wavelet-smoothed time series for five years of MODIS EVI data. From this wavelet-smoothed time series we determine characteristic phenology of single and double crops. We estimate that over 3200 km(2) were converted from native vegetation and pasture to row-crop agriculture from 2000 to 2005 in our study area encompassing 40,000 km(2). We observe an increase of 2000 km(2) of agricultural intensification, where areas of single crops were converted to double crops during the study period. (C) 2007 Elsevier Inc. All rights reserved.

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This paper analyzes the production of apartment buildings for the middle-income segment in the city of So Paulo, Brazil, from a historical perspective. Tracing the response to the occupants` needs, the focus is on family profiles and their demands, the relationship between architectural design and marketing, and satisfaction levels of current users. The paper begins with a brief historical overview of how apartment buildings have evolved over the past eight decades, highlighting the consolidation of the tripartite model. Next, it analyzes family profiles and their current needs, which would call for a redesign of domestic space. From a different angle, it shows how the real-estate market reacts to this situation, namely by introducing minor changes in the domestic space that are closely linked to major investments in marketing. This leads to a discussion on the quality of recent architectural designs in light of Post-Occupancy Evaluation (POE) case studies, which corroborate the tendencies previously outlined. The conclusions drawn from the POEs suggest that the market should establish a closer and deeper relationship between the assessment of the human behavior in the domestic space and the architectural quality of homes as a means of increasing satisfaction levels and improving design performance.

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Nearest–neighbour balance is considered a desirable property for an experiment to possess in situations where experimental units are influenced by their neighbours. This paper introduces a measure of the degree of nearest–neighbour balance of a design. The measure is used in an algorithm which generates nearest–neighbour balanced designs and is readily modified to obtain designs with various types of nearest–neighbour balance. Nearest–neighbour balanced designs are produced for a wide class of parameter settings, and in particular for those settings for which such designs cannot be found by existing direct combinatorial methods. In addition, designs with unequal row and column sizes, and designs with border plots are constructed using the approach presented here.

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Background: The accuracy of multidetector computed tomographic (CT) angiography involving 64 detectors has not been well established. Methods: We conducted a multicenter study to examine the accuracy of 64-row, 0.5-mm multidetector CT angiography as compared with conventional coronary angiography in patients with suspected coronary artery disease. Nine centers enrolled patients who underwent calcium scoring and multidetector CT angiography before conventional coronary angiography. In 291 patients with calcium scores of 600 or less, segments 1.5 mm or more in diameter were analyzed by means of CT and conventional angiography at independent core laboratories. Stenoses of 50% or more were considered obstructive. The area under the receiver-operating-characteristic curve (AUC) was used to evaluate diagnostic accuracy relative to that of conventional angiography and subsequent revascularization status, whereas disease severity was assessed with the use of the modified Duke Coronary Artery Disease Index. Results: A total of 56% of patients had obstructive coronary artery disease. The patient-based diagnostic accuracy of quantitative CT angiography for detecting or ruling out stenoses of 50% or more according to conventional angiography revealed an AUC of 0.93 (95% confidence interval [CI], 0.90 to 0.96), with a sensitivity of 85% (95% CI, 79 to 90), a specificity of 90% (95% CI, 83 to 94), a positive predictive value of 91% (95% CI, 86 to 95), and a negative predictive value of 83% (95% CI, 75 to 89). CT angiography was similar to conventional angiography in its ability to identify patients who subsequently underwent revascularization: the AUC was 0.84 (95% CI, 0.79 to 0.88) for multidetector CT angiography and 0.82 (95% CI, 0.77 to 0.86) for conventional angiography. A per-vessel analysis of 866 vessels yielded an AUC of 0.91 (95% CI, 0.88 to 0.93). Disease severity ascertained by CT and conventional angiography was well correlated (r=0.81; 95% CI, 0.76 to 0.84). Two patients had important reactions to contrast medium after CT angiography. Conclusions: Multidetector CT angiography accurately identifies the presence and severity of obstructive coronary artery disease and subsequent revascularization in symptomatic patients. The negative and positive predictive values indicate that multidetector CT angiography cannot replace conventional coronary angiography at present. (ClinicalTrials.gov number, NCT00738218.).

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Purpose: To evaluate the influence of cross-sectional arc calcification on the diagnostic accuracy of computed tomography (CT) angiography compared with conventional coronary angiography for the detection of obstructive coronary artery disease (CAD). Materials and Methods: Institutional Review Board approval and written informed consent were obtained from all centers and participants for this HIPAA-compliant study. Overall, 4511 segments from 371 symptomatic patients (279 men, 92 women; median age, 61 years [interquartile range, 53-67 years]) with clinical suspicion of CAD from the CORE-64 multi-center study were included in the analysis. Two independent blinded observers evaluated the percentage of diameter stenosis and the circumferential extent of calcium (arc calcium). The accuracy of quantitative multidetector CT angiography to depict substantial (>50%) stenoses was assessed by using quantitative coronary angiography (QCA). Cross-sectional arc calcium was rated on a segment level as follows: noncalcified or mild (<90 degrees), moderate (90 degrees-180 degrees), or severe (>180 degrees) calcification. Univariable and multivariable logistic regression, receiver operation characteristic curve, and clustering methods were used for statistical analyses. Results: A total of 1099 segments had mild calcification, 503 had moderate calcification, 338 had severe calcification, and 2571 segments were noncalcified. Calcified segments were highly associated (P < .001) with disagreement between CTA and QCA in multivariable analysis after controlling for sex, age, heart rate, and image quality. The prevalence of CAD was 5.4% in noncalcified segments, 15.0% in mildly calcified segments, 27.0% in moderately calcified segments, and 43.0% in severely calcified segments. A significant difference was found in area under the receiver operating characteristic curves (noncalcified: 0.86, mildly calcified: 0.85, moderately calcified: 0.82, severely calcified: 0.81; P < .05). Conclusion: In a symptomatic patient population, segment-based coronary artery calcification significantly decreased agreement between multidetector CT angiography and QCA to detect a coronary stenosis of at least 50%.

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Recently, stress myocardial computed tomographic perfusion (CTP) was shown to detect myocardial ischemia. Our main objective was to evaluate the feasibility of dipyridamole stress CTP and compare it to single-photon emission computed tomography (SPECT) to detect significant coronary stenosis using invasive conventional coronary angiography (CCA; stenosis >70%) as the reference method. Thirty-six patients (62 +/- 8 years old, 20 men) with previous positive results with SPECT (<2 months) as the primary inclusion criterion and suspected coronary artery disease underwent a customized multidetector-row CT protocol with myocardial perfusion evaluation at rest and during stress and coronary CT angiography (CTA). Multidetector-row computed tomography was performed in a 64-slice scanner with dipyridamole stress perfusion acquisition before a second perfusion/CT angiographic acquisition at rest. Independent blinded observers performed analysis of images from CTP, CTA, and CCA. All 36 patients completed the CT protocol with no adverse events (mean radiation dose 14.7 +/- 3.0 mSv) and with interpretable scans. CTP results were positive in 27 of 36 patients (75%). From the 9 (25%) disagreements, 6 patients had normal coronary arteries and 2 had no significant stenosis (8 false-positive results with SPECT, 22%). The remaining patient had an occluded artery with collateral flow confirmed by conventional coronary angiogram. Good agreement was demonstrated between CTP and SPECT on a per-patient analysis (kappa 0.53). In 26 patients using CCA as reference, sensitivity, specificity, and positive and negative predictive values were 88.0%, 79.3%, 66.7%, and 93.3% for CTP and 68.8, 76.1%, 66.7%, and 77.8%, for SPECT, respectively (p = NS). In conclusion, dipyridamole CT myocardial perfusion at rest and during stress is feasible and results are similar to single-photon emission CT scintigraphy. The anatomical-perfusion information provided by this combined CT protocol may allow identification of false-positive results by SPECT. (C) 2010 Elsevier Inc. All rights reserved. (Am J Cardiol 2010;106:310-315)