Results and Discussions. In the present work we consider the effect of different impurities on the morphology of cementite nanowires. We have performed our modeling for both pure and doped nanowires oriented along different crystallographic axes. Mn and Si were chosen as the most common impurities (of course, apart from carbon) in ordinary steels, V is also used in the high-strength low-alloy steels [29] and P, S and V were experimentally found in DS [27, 28, 34]. The calculations were performed first for the ferromagnetic ground state of cementite. However, the morphology of cementite in steels at high enough temperature (in particular, above the Xxxxx temperature) is also of great interest. To study the effects of changes in magnetic state induced by the temperature, we have also performed calculations for disordered magnetic configurations [42, 43]. More specifically, calculations for three different randomly chosen spin configurations with the total magnetic moments equal to zero, which models the high-temperature paramagnetic state, have been performed for the bulk cementite and the nanowires. During the optimization of atomic structure we keep the chosen magnetic configuration. In all studied disordered configurations we have found a decrease of formation energies of cementite nanowires. For the smallest (1.24 nm) width of the nanowire oriented along the c axis it changes from 5.10 to 4.95 eV/Fe3C for the pure case, from 4.95 to 4.70 eV/Fe3C for P-doped J. Phys.: Condens. Matter 24 (2012) 395001 X X Xxxxxxxxxx et al and from 5.21 to 5.13 eV/Fe3C for Mn-doped cases, in comparison with the ferromagnetic states. Thus, the degree of magnetic order of cementite plays an insignificant role in the energetics of the formation of pure and doped cementite nanowires. In contrast to elemental iron, the crystal structure of cementite is strictly anisotropic and can be described as a layered system with alternation of two iron and one carbon layers perpendicular to the crystallographic b axis (see figure 1). The axes in the cementite are chosen according to the standard denomination of the axes in the cementite lattice used in the previous works [28]. This special crystal structure determines the anisotropy of lattice distortions in the presence of impurities. Our calculations demonstrate that all impurities (Mn, V, Si, P, S) studied in this work produce an expansion of cementite along the a and c axes and an insignificant compression along the b axis. Substitution of a iron atom by silic...
Results and Discussions. To investigate the accuracy of the presented formulations, an example is chosen from Ref. [4], where the coupled thermoelasticity of a disk is analyzed using the finite element method. In this example, a stationary disk made of aluminum, with the Lamè constants λ = 40.4 GPa, μ = 27 GPa and α = 23 × 10−6 K−1, ρ = 2707 kg/m3, κ = 204 W/m·K and c = 903 J/kg·K is considered. The nondimensional inner and outer radii of the disk is given as a = 1 and b = 2, respectively. The inside boundary of the disk is assumed to be radially fixed, but exposed to a step function heat flux. The outside boundary is traction free with zero temperature change. The initial conditions for the displacement, velocity, temperature, and the rate of temperature are assumed to be zero. In the case of zero angular velocity, assuming that C = 0.02 and tˆ0 = 0.64, the time
Results and Discussions. Results of the experiment are organized in the following three sections: (1) verification of adjustment methods, (2) color agreement testing by paired comparison, and (3) further color agreement testing using different colorants. Subsequent discussions are also included to reflect key findings in the research. Verification of Adjustment Methods Let’s begin with the before-and-after comparison of to gradation adjustment method. Figure 5 shows the adjusted NexPress print (dotted line) and the initial print (solid line). The left-hand side of Figure 5 is the overall gradation, expressed as % digital dot area vs. density; and the right-hand side of Figure 5 shows the density differences relative to the offset reference (x-axis). There are two observations: (1) the gradation difference is quite small to begin with (something that we did not envision beforehand), and (2) the experimental error is very small, i.e., we implemented the gradation adjustment well.
Results and Discussions. Results obtained: File was successfully uploaded by the owner and thefile key was generated successfully. The owner of the file, authority and admin were successfully able to view the user request and accept it. The secret key for the file to be downloaded was successfully sent to the user’s email ID. The user was able to download the file successfully using the key which was sent to him through mail.
Results and Discussions. Out of 39 centers, a total of 34 centers completed the survey. Two centers did not complete the survey because they were new clinics and were not treating patients at the time they received the survey. Figure 1 and Figure 2 show the demographics of the centers. The average number of medical physicists in the centers varied from 2 to 31. The average total number of staff per center with physics and engineering education as well as therapists varied from 12 up to over 240. The provinces of Ontario and Quebec have the largest average number of medical physicists and total staff followed by British Columbia and Alberta. Alberta has the largest average number of medical physicists per center. These data complements Figure 2: Average number of staff per clinic. These data were obtained by dividing the average total number of staff from each province by the number of clinics. the results of a Canadian survey recently presented in this newsletter (Xxxxx and Xxxxxxxx, 2011). Figure 3 shows the external beam modalities in which the centers treat cancer patients. These data show that in Canada there is a very large spectrum of clinics in terms of average number of staff. A total of 27 centers answered that they perform (to some extent) in-vivo dose measurements. From these 27 centers, 21 and 24 centers answered that they perform in-field and out-of-field in-vivo dose measurements, respectively. In Figure 1 we labeled with “yes / yes” the centers that measure in-vivo doses in-field and out-of-field, respectively. Figure 3 shows the treatment modalities in which in-vivo dosimetry are performed for. A total of 21 out of 34 centers perform in-field in-vivo dose measurements for static fields. From the 31 centers that treat using intensity modulated therapy (IMRT), 15 perform in-vivo dose measurements. For total body irradiation (TBI) treatments, 7 out of 9 centers perform in-vivo dose measurements and for total skin irradiation (TSI) treatments, 2 out of 3 centers.
Results and Discussions. The above system is implemented using Java Platform. The program contains a GUI as shown in the figure below. IT contains a key sharing program which demonstrates the key sharing protocol mentioned above.
Results and Discussions. Subtitle 1 The text of the manuscript (A4 format) is made in the MS Word editor in 1.5 spacing, the font size is 12 pt. Schemes are given in appropriate places of the text. References, drawings, captions, tables are placed on separate pages at the end of the article. Illustrations and tables should have relevant references in the text. Figures (no more than 5 for experimental articles) are drawn up without “frames” and “grids”. All illustrations are sent in separate graphic files. Line drawings (maps, charts, diagrams) are accepted only in Excel, Corel Draw, Adobe Illustrator vector programs or in scanned form with a resolution of at least 300 dpi. Raster illustrations (photos) are accepted in JPG, TIFF, GIF, PNG formats with a resolution of at least 300 dpi. Parts of figures are denoted by letters, which are written in italics (Fig. 1, a), (Fig. 2, a, b). The numbers of the curves in figures, in the text and figure captions are typed in italics (1), (2). Table 1 t is necessary to carefully monitor the exact correspondence of the designations in the text and in the figures. In the left margin of the manuscript, references to tables and figures are made, where they are first mentioned in the text (Insert → Shapes → Rectangle with letter A). For example: Table 1 presents data ... F Fig 1, а ig. 1, a demonstrates the dependence of ... When reiterating references to data in tables or figures, the following format is used: (see Table 1) or (see Fig. 1, a). The tables are provided with brief informative names, are numbered in consecutive Arabic numerals, and are given after the figure captions on separate pages at the end of the article. TABLE 1 Table title Title Parameters, units Са, g/l Text 1 11.200 0.15 Text 2 0.153 1.25 Text 3 21.6–37.8 –
Results and Discussions. Xxxxx’x Kappa interrater index is crucial to be undertaken after the experts had given their opinion on the item’s relevancy in research. The main reason the interrater index needs to be measured is to get a consensus among all the experts on the item’s relevance in the research. The Xxxxx’x Kappa interrater index is like correlation coefficients, it can range from −1 to +1, where 0 represents the amount of agreement that can be expected from random chance, and 1 represents perfect agreement between the raters. As with all correlation statistics, the kappa is a standardized value and thus is interpreted the same across multiple studies. Xxxxx suggested the Kappa result be interpreted as follows: values ≤ 0 as indicating no agreement and 0.01– 0.20 as none to slight, 0.21–0.40 as fair, 0.41– 0.60 as moderate, 0.61–0.80 as substantial, and 0.81–1.00 as almost perfect agreement. In short, for this research, the value of the Kappa index should be at least 0.60. As this research investigates the factors that influence MTUN academic data sharing, thus four (4) constructs that have been identified were measured; technological, organizational, environmental, and individual. Each construct has its items to be measured. As shown in 2, the technological constructs resulted to get a substantial agreement of 0.78 in which the rate falls between 0.61 – 0.80. The organizational constructs resulted to get a substantial agreement of 0.78 in which the rate falls between 0.61 – 0.80. The environmental constructs resulted to get a perfect agreement of 1.00 in which the rate falls between 0.81 –1.00. The individual constructs resulted to get a substantial agreement of 0.80 in which the rate falls between 0.61 –0.80. It can be assumed that all of the constructs and its items measured were significant and agreed upon by the experts. Table 5shows a summary of the expert’s agreement for each construct. From this table, it can be seen that all of the experts were agreed with 95% to 100% with the items in the questionnaire and their significance to measure the dedicated constructs. The percentage is high and it makes the questionnaire fit to measure its purposes and it is validated. In this case, there will be no item removal at this phase and all of the items will be remained. The questionnaires now are ready to be distributed to MTUN academics for pilot study purposes.
Results and Discussions. 3.2.1 Time in a day of disturbance and type of annoying noise Answers to the questions (ref. Appendix A/ Question C5) asking about the time of a day when the residents are disturbed by the aircraft noise from the bases are analysed. In Figure 3.2 are presented the time of a day the residents around Kadena Air Base (Figure 3.2(a)) and Futenma Air Station (Figure 3.2(b)) are disturbed much by the aircraft noise from the bases for the different levels of noise exposure. The most disturbing time is basically daytime as can be seen in the figure, but even in the midnight and very early in the morning over 40% of the subjects living in the areas of WECPNL of 90 and over 95 in the Kadena Air Base’s surroundings complain disturbed. In Figure 3.3 are plotted the percentage of the response on the type of the noises from the bases the respondents are particularly annoyed by (ref. Appendix A/ Question C6). The difference between the two airfields is shown in the rate of helicopter noise which about 60% of the population around Futenma Air Station report annoying, while those around Kadena Air Base report much less except in the area of WECPNL of 75. Around Kadena Air Base the noise is basically due to jet aircraft. As will be described below the difference of the type of aircraft used could be a factor of the difference in the response rates between the two airfields. WECPNL : 95– : 90–95 : 85–90 : 80–85 : 75–80 Early in the morning Morning Daytime Late afternoon Evening Nighttime Not disturbed 20 40 60 80 100 Percentage (a) Around Kadena Air Base. WECPNL : 80–85 : 75–80 : –75 Early in the morning Morning Daytime Late afternoon Evening Nighttime Not disturbed 20 40 60 80 100 Percentage
Results and Discussions. The results of this proposed model basically carries based on two measurements such as amount signaling message traffic and cost computation. The expected scheme may reduce the signaling cost in terms sending the messages through MTTD device. Fig 3 depicts the comparison between other proposed methods. This was the sample performance evaluation considered based on various networks such as edge network, access network and main network. The evaluated performance metrics can be based on the signaling message exchanges. We have considered this networking scenario based on n number of MTTD devices cells. We assumed that all other schemes require n number of times of total signaling message exchanging per unit time. Moreover, we have different number of groups for generating and distributing keys for cryptographic function and verification of the user as well. In order to increase the performance of various groups in terms of various networks namely edge, aces and main network signaling. Figure 3: Message traffic in MTTD In this paper the table 2 depicts the performances of various methods comparing with our proposed method to evaluate the total number of messages exchanged. Table 2: No of Messages exchanging Sch eme Edge N/W Access N/W Main N/W Total Lao Xx Xxx our According the details included in fig 3 the performance of the proposed model is expensive when compared with some other models. However, this perform better when compared with traditional models but not with light weight models because light weight protocols uses hash functions for reducing the over heads and increasing the performances. Therefore the future work will carry based on the comparison
