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Table 1: Enzyme influence. The 10 enzymes of highest influence are given for IC 2 of the continuous night experiment and for IC 1 of the pgm mutant experiment. The first two most important enzymes are identical, and hence the continuous night time component is quite similar to the discriminating component of the pgm mutant experiment.
2004
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Table 3: Schedule for Transition to Night Operations
"... In PAGE 23: ... After awakening from the second sleep period begin daylight exposure, caffeine consumption, and exercise to stimulate alertness. Table3 suggests work-sleep-nap schedules to assist planners during a transition to and from night operations. The daylight symbols indicate the time range during which you should attempt to obtain (or avoid) exposure to daylight.... ..."
Table 4 Influence of time
2002
"... In PAGE 9: ....4.2. Time We also noted that the situations with open or undetermined time constraints used on average more sources than in other time frames ( Table4 ). This may simply be due to the longer time available for searching.... ..."
Table 1. Chronology of Nights 1 amp; 2 (Figures 1 { 4)
"... In PAGE 5: ...6 hours of observations spread over 7.5 hours (see Figures 1 { 4 and Table1 ). This agrees with the rate of Paper I, with events recurring on the average of about every two hours, and lasting for an average of about one hour: about half the time, an event was occurring.... ..."
Table 10: Influencing factors
"... In PAGE 8: ... However, 25% of the respondents in the survey did not answer this question indicating that it was dificult to decide. Survey Test persons Within which time frame are you ready to read your newspaper on e-paper? No % No % Today 1521 41,9 6 54,5 Within 5 years 683 18,8 5 45,5 ithin 10 years 209 5,8 0 0 Within 20 years 8 2,4 0 0 Never 23 6,2 0 0 Mising 902 24,8 0 0 Total 3626 10 1 10 Table 9: Time frame Finaly, the survey respondents were asked about the factors that influenced their decision to read their newspaper on e-paper ( Table10 ). Stable technology and Easy to find content were the factors that scored the highest.... ..."
Table 5: Evacuation Times for Night Staff of 3 Nurses with 10 Runs for Each Patient Distribution
"... In PAGE 20: ... The results are shown in table 4. Number of Non-Ambulant Patients Number of Ambulant Patients Mean Evacuation time in seconds (Min:Sec) Standard Deviation in seconds (Min:Sec) 30 0 2643 (44:03) 257 (4:17) 25 5 1749 (29:09) 205 (3:25) 20 10 1439 (23:59) 189 (3:09) 15 15 1105 (18:25) 86 (1:26) 10 20 801 (13:21) 75 (1:15) 5 25 707 (11:47) 64 (1:04) 0 30 470 (7:50) 54 (0:54) Table 4: Evacuation Times for Day Staff of 6 Nurses with 10 Runs for Each Patient Distribution Table5 continues the analysis showing the same means and standard deviations for different combinations of ambulant and non-ambulant patients. In contrast to Table 4, this illustrates the increased evacuation times associated with the reduced staffing levels that typically hold at night.... ..."
Table VII. Percentage of Covariance Explained by A, C, and E, Based on a Cholesky, Model, a Simplex Model, and a Restircited Model, with their 95% Confidence Intervals
2002
TABLE IV THEORETICALC8 CT VALUES AS A FUNCTION OF THRESHOLDAL AND TOTAL ATTENUATIONAC FOR THE TWO NIGHT TIME CASES OF FADING.
in An Adaptive Threshold Detector and Channel Parameter Estimator for Deep Space Optical Communications
Table 3 Classification of seven oceanic predator species according to their vertical movement patterns during the daytime and night- time, respectivelya
"... In PAGE 8: ... It is difficult to generalize a regular vertical pattern for individuals of any particular species because individual behaviour is not rigid, but rather composed of adaptive actions. Neverthe- less, we used published data to classify the vertical patterns of the above species according to the criteria used for our artificial fishes ( Table3 ). The behaviours that emerged in our simulations are consistent with the behaviours exhibited in nature; the seven species considered were categorized in... ..."
Table 5. Influence of the rise time and the size of the heterogeneity.
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