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Joseph D Hagman - One of the best experts on this subject based on the ideXlab platform.
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predicting Table VIII tank gunnery performance from m coft hit rate
1994Co-Authors: Monte D Smith, Joseph D HagmanAbstract:Abstract : To determine the relationship between scores on a device-based test of gunnery proficiency and live-fire Tank Table VIII scores, a pooled sample of 73 Army National Guard (ARNG) tank crews (i.e., 24 from Smith and Hagman (1992) and 49 from this investigation) completed a 1-hour gunnery proficiency test on the Mobile Conduct-of-Fire Trainer (M-COFT) and then fired Table VIII the next day as part of annual training. For this pooled sample, a significant correlation was found between M-COFT test and Table VIII scores (r = .67, p < . 0001). Based on the results of linear regression analyses, a tool was developed to predict Table VIII scores from M-COFT test performance measured in terms of hit rate or, easier to calculate, percentage of first-round kills. Although field tryouts are needed to verify the accuracy of the predictions, the results in this report suggest that device-based prediction of live-fire tank gunnery performance is possible, and that this prediction capability can be used by ARNG company commanders to assess the proficiency of tank crews and their need for additional training before live-fire gunnery evaluation on Table VIII.
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performance analysis of Table VIII tank gunnery engagements
1994Co-Authors: Joseph D HagmanAbstract:Abstract : To assess performance on individual Table VIII gunnery engagements, the first run scores of 109 tank crews from three U.S. Army National Guard (ARNG) armor battalions were averaged and then ordinarily ranked for difficulty. For all three battalions, three of the four engagements found to have the lowest average scores (highest difficulty rankings) required machine gun (coax or Caliber .50) employment either alone or in combination with the main gun. In the remaining engagement of this foursome, crews were required to fire at multiple targets with the main gun using the gunner's auxiliary sight. Two of the three engagements found to have the highest average scores (lowest difficulty rankings) involved presentation of only a single target. These results can be used by ARNG armor trainers to help maximize the payoff from their training time investment by focusing on the engagements found to be the most difficult, thereby enhancing the probability of first-run crew qualification on Table VIII. Reserve component, Armor training, Tank gunnery, Table VIII
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predicting Table VIII tank gunnery scores from a test of guardfist i proficiency and training matrix advancement
1993Co-Authors: Monte D Smith, Joseph D HagmanAbstract:Abstract : This report describes two investigations of the relationship between performance on the Guard Unit Armory Device Full-Crew Interactive Simulation Trainer-Armor (GUARDFIST I) and live-fire tank gunnery performance. In the first investigation, 19 Army National Guard (ARNG) M1 tank crews completed a GUARDFIST I-based test of gunnery proficiency and then fired tank gunnery Table VIII during annual training. Results showed that crew performance on the GUARDFIST I test was unrelated to performance on Table VIII. The second investigation examined the relationship between aggregate measures of GUARDFIST I training (maximum training matrix advancement and total training time) and Table VIII scores collected 6 months later on eight ARNG M1 tank crews. Results showed that total training time was unrelated to Table VIII scores, but that maximum training matrix advancement was strongly predictive of subsequent Table VIII performance. Findings suggest that brief, one-shot tests of proficiency on GUARDFIST I have limited predictive utility, but that aggregate measures of gunnery proficiency on GUARDFIST I can be used to predict live-fire tank gunnery performance. A larger sample size is needed to substantiate the validity of this predictive relationship. Reserve component, Tank gunnery, Training devices, GUARDFIST I, Armor training, Performance prediction
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predicting Table VIII tank gunnery performance from m coft hit rate and demographic variables
1992Co-Authors: Monte D Smith, Joseph D HagmanAbstract:Abstract : This report describes research efforts to determine the ability to predict Table VIII performance from Conduct-of-Fire Trainer (COFT) proficiency and tank crew demographics and to develop cut scores for predicting Table VIII qualification. Tank commanders (TCs) and gunners in 24 Army National Guard Ml tank crews completed the COFT Test of Gunnery Proficiency (CTGP) before firing Table VIII during annual training. Hit Rate, based on 22 engagements from the CTGP, correlated positively with Table VIII scores. Gunner's age, TC vision, and crew years of military service also correlated with Table VIII. TC vision was positively related to Table VIII scores, whereas gunner's age was negatively related to both Table VIII scores and CTGP Hit Rate. The relationship between crew years of military service and Table VIII was curvilinear (crews with intermediate years of service outperformed those with either few or many years of service). When the three best predictor variables were combined in a multiple regression algorithm, they accounted for more than 60% of the variance in Table VIII scores. The results show that Table VIII performance can be predicted from a combination of COFT Hit Rate and other measures and support the viability of device-based training strategies for Army National Guard armor units. If the results are replicable, COFT cut scores can be constructed to serve as training guidelines. Crews trained to specified levels of COFT proficiency can be expressed (with known levels of probability) to qualify on Table VIII.
Kubeczková Lucie - One of the best experts on this subject based on the ideXlab platform.
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Tonicity adjustment of aqueous solutions of drugs. Naphazolin nitrate. Olopatadin hydrochloride.
2013Co-Authors: Kubeczková LucieAbstract:Charles University in Prague, Faculty of Pharmacy in Hradec Králové Department of: Pharmaceutical technology Consultant: Doc. PharmDr. Zdeňka Šklubalová, Ph.D. Student: Lucie Kubeczková, DiS. Title of Thesis: Tonicity adjustment of aqueous solutions of drugs. Naphazoline nitrate. Olopatadine hydrochloride. Aqueous solutions of drugs used for the application onto the cornea or the nasal mucosa should be isotonic. When adjusting the osmotic pressure, freezing point depression method is the mostly used. This experimental thesis was focused on the measurement of density, osmolality and freezing point depression of solutions of naphazoline nitrate and/or olopatadine hydrochloride. Results were used to estimate the osmotic pressure of the solutions and molal osmotic coefficient. A goal was to set freezing point depression data for completion a Table VIII of the Czech Pharmacopoeia
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Tonicity adjustment of aqueous solutions of drugs. Naphazolin nitrate. Olopatadin hydrochloride.
Univerzita Karlova Farmaceutická fakulta v Hradci Králové, 2013Co-Authors: Kubeczková LucieAbstract:Univerzita Karlova v Praze, Farmaceutická fakulta v Hradci Králové Katedra: Farmaceutická technologie Školitel: Doc. PharmDr. Zdeňka Šklubalová, Ph.D. Posluchač: Lucie Kubeczková, DiS. Název diplomové práce: Izotonizace vodných roztoků léčiv. Nafazolin - nitrát. Olopatadin - hydrochlorid. Vodné roztoky léčivých látek k aplikaci na rohovku nebo nosní sliznici by měly být izotonické. Při úpravě osmotického tlaku se využívá nejčastěji kryoskopická hodnota. Tato experimentální diplomová práce byla zaměřena na měření hustoty, osmolality a kryoskopické hodnoty roztoků nafazolin - nitrátu a olopatadin - hydrochloridu. Výsledky byly využity k odhadu osmotického tlaku roztoků a molálního osmotického koeficientu. Očekávaným praktickým výstupem bylo připravit podklady pro doplnění kryoskopických hodnot v Tabulce VIII Národní části Českého lékopisu.Charles University in Prague, Faculty of Pharmacy in Hradec Králové Department of: Pharmaceutical technology Consultant: Doc. PharmDr. Zdeňka Šklubalová, Ph.D. Student: Lucie Kubeczková, DiS. Title of Thesis: Tonicity adjustment of aqueous solutions of drugs. Naphazoline nitrate. Olopatadine hydrochloride. Aqueous solutions of drugs used for the application onto the cornea or the nasal mucosa should be isotonic. When adjusting the osmotic pressure, freezing point depression method is the mostly used. This experimental thesis was focused on the measurement of density, osmolality and freezing point depression of solutions of naphazoline nitrate and/or olopatadine hydrochloride. Results were used to estimate the osmotic pressure of the solutions and molal osmotic coefficient. A goal was to set freezing point depression data for completion a Table VIII of the Czech Pharmacopoeia.Department of Pharmaceutical TechnologyKatedra farmaceutické technologieFaculty of Pharmacy in Hradec KrálovéFarmaceutická fakulta v Hradci Králov
Monte D Smith - One of the best experts on this subject based on the ideXlab platform.
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predicting Table VIII tank gunnery performance from m coft hit rate
1994Co-Authors: Monte D Smith, Joseph D HagmanAbstract:Abstract : To determine the relationship between scores on a device-based test of gunnery proficiency and live-fire Tank Table VIII scores, a pooled sample of 73 Army National Guard (ARNG) tank crews (i.e., 24 from Smith and Hagman (1992) and 49 from this investigation) completed a 1-hour gunnery proficiency test on the Mobile Conduct-of-Fire Trainer (M-COFT) and then fired Table VIII the next day as part of annual training. For this pooled sample, a significant correlation was found between M-COFT test and Table VIII scores (r = .67, p < . 0001). Based on the results of linear regression analyses, a tool was developed to predict Table VIII scores from M-COFT test performance measured in terms of hit rate or, easier to calculate, percentage of first-round kills. Although field tryouts are needed to verify the accuracy of the predictions, the results in this report suggest that device-based prediction of live-fire tank gunnery performance is possible, and that this prediction capability can be used by ARNG company commanders to assess the proficiency of tank crews and their need for additional training before live-fire gunnery evaluation on Table VIII.
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predicting Table VIII tank gunnery scores from a test of guardfist i proficiency and training matrix advancement
1993Co-Authors: Monte D Smith, Joseph D HagmanAbstract:Abstract : This report describes two investigations of the relationship between performance on the Guard Unit Armory Device Full-Crew Interactive Simulation Trainer-Armor (GUARDFIST I) and live-fire tank gunnery performance. In the first investigation, 19 Army National Guard (ARNG) M1 tank crews completed a GUARDFIST I-based test of gunnery proficiency and then fired tank gunnery Table VIII during annual training. Results showed that crew performance on the GUARDFIST I test was unrelated to performance on Table VIII. The second investigation examined the relationship between aggregate measures of GUARDFIST I training (maximum training matrix advancement and total training time) and Table VIII scores collected 6 months later on eight ARNG M1 tank crews. Results showed that total training time was unrelated to Table VIII scores, but that maximum training matrix advancement was strongly predictive of subsequent Table VIII performance. Findings suggest that brief, one-shot tests of proficiency on GUARDFIST I have limited predictive utility, but that aggregate measures of gunnery proficiency on GUARDFIST I can be used to predict live-fire tank gunnery performance. A larger sample size is needed to substantiate the validity of this predictive relationship. Reserve component, Tank gunnery, Training devices, GUARDFIST I, Armor training, Performance prediction
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predicting Table VIII tank gunnery performance from m coft hit rate and demographic variables
1992Co-Authors: Monte D Smith, Joseph D HagmanAbstract:Abstract : This report describes research efforts to determine the ability to predict Table VIII performance from Conduct-of-Fire Trainer (COFT) proficiency and tank crew demographics and to develop cut scores for predicting Table VIII qualification. Tank commanders (TCs) and gunners in 24 Army National Guard Ml tank crews completed the COFT Test of Gunnery Proficiency (CTGP) before firing Table VIII during annual training. Hit Rate, based on 22 engagements from the CTGP, correlated positively with Table VIII scores. Gunner's age, TC vision, and crew years of military service also correlated with Table VIII. TC vision was positively related to Table VIII scores, whereas gunner's age was negatively related to both Table VIII scores and CTGP Hit Rate. The relationship between crew years of military service and Table VIII was curvilinear (crews with intermediate years of service outperformed those with either few or many years of service). When the three best predictor variables were combined in a multiple regression algorithm, they accounted for more than 60% of the variance in Table VIII scores. The results show that Table VIII performance can be predicted from a combination of COFT Hit Rate and other measures and support the viability of device-based training strategies for Army National Guard armor units. If the results are replicable, COFT cut scores can be constructed to serve as training guidelines. Crews trained to specified levels of COFT proficiency can be expressed (with known levels of probability) to qualify on Table VIII.
Enhui Yang - One of the best experts on this subject based on the ideXlab platform.
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correction to fast mode selection for hevc intra frame coding with entropy coding refinement based on a transparent composite model sep 15 1521 1532
IEEE Transactions on Circuits and Systems for Video Technology, 2017Co-Authors: Enhui YangAbstract:After our internal code cross-check, we have recently found some mistakes in [1, Table VIII] and [1, Figs. 12 and 13] . As such, we have reimplemented the ideas and methods stated in [1] . The corrected Table VIII and Figs. 12 and 13 are now shown in this correction. Our code is also available from http://multicom.uwaterloo.ca . To reflect this correction, the following changes have to be made accordingly throughout the paper [1] .
Scharfetter Hermann - One of the best experts on this subject based on the ideXlab platform.
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NQRS raw data to 10.1103/PhysRevX.8.021076 Table VIII
2018Co-Authors: Gösweiner Christian, Scharfetter HermannAbstract:These are the raw data files to the NQR measurements presented in https://link.aps.org/doi/10.1103/PhysRevX.8.021076. Temperature sweep measurements were performed using the sequences explained in APPENDIX B. Fitting models (B3) and (B4) have been applied. The best-fit parameters for the linear temperature coefficnet C37 can be found in APPENDIX C, Table VII. The names of the files follow the labelling: sampleNr_transitionNr_temperature_sweep.txt the organization of the txt-files is as follows: header: file source, number of frequency-points (Starting Point, End Point) and number of records (Starting 2D Record, Ending Record) = number of parameter sweeps (e.g. temperature steps) Data set: records stacke on top of each other: real part [a.u.] / imaginary part [a.u.] / frequency shift [kHz] the frequency is given in difference from the central frequency (Obeserve Freq.), which can be found in the footer footer: contains information on the used sequence and its paramteres. eg.g the "Obeserve Freq" of the spectrometer during the sequence, (excitiation and detection frequency). Also under the section "Comment" the used temperature steps can be found. also: filter bandwidth, dwell time, delay time, pulse length .... if anything, just ask: christian.goesweiner@tugraz.at
