By using perturbation and asymptotic procedures in this paper, we have been able to analytically determine the dynamic buckling load of an imperfect finite toroidal shell segment that was pressurized by a step load. The inherent stress–free, time–independent but continuously differentiable imperfection was expanded in a Fourier series and, in the final analysis, an implicit formula for determining the dynamic buckling load was obtained. A significant contribution is that it is possible to relate the dynamic buckling load to its static equivalent and that relationship is independent of the imperfection. Thus, if any of these two buckling loads is known, then, we can automatically evaluate the other buckling load without the labour of repeating the arduous procedure all over for different imperfection parameters.
unstable vibrations has been occurred in all methods. Therefore, time step reduces so that each integration could present the quasi exact solution. If time step is 0.0007 second, the NI1, IHOA-1, CA (Newmark Constant Acceleration) and LA (Newmark Linear Acceleration) methods present the quasi exact solution of Figure 10. Regardless the same efficiency, the analysis time of the proposed NI1 scheme is less than other techniques (as described in the portal frame). Furthermore, by reducing time step to 0.0005 second, the previous integrations (NI1, IHOA-1, CA and LA); the NI5 and IHOA-5 also lead to the quasi exact solution. When time step is 0.0004 second, all methods can present the quasi exact response except the IHOA-2, 3 and NI2, 3; however smaller time steps such as 0.0003 second solve this problem. These analyses show that the first, fourth and fifth accuracy order of the proposed integration (NI1, NI4 and NI5) have more ability than other orders. Undamped vibrations which do not appear in real systems cause a few reduction in efficiency of the N-IHOA. Moreover, this example shows that the proposed time integration can be successfully used for dynamicanalysis of systems which are modeled by finite differences methods.
Numerical time integrations, called step-by-step meth- ods, are utilized for solving Eq. (1), which is a time dierential equation. From a mathematical point of view, the main concern may be creating continuity between displacement's higher-order time derivatives (third order, fourth order, etc.). The reason for this subject is that the rst and second orders of displacement's time derivatives only exist in dynamic equilibrium equation (Eq. (1)). In other words, there is no relationship for controlling and checking higher- order time derivatives continuity. This subject has a considerable eect on stability and accuracy of numer- ical integrations so that researchers can try to improve this defect in two manners: utilizing higher-order time derivatives of a single previous increment  and proposing multi-time step schemes . The rst approach could be used in single step time integrations; however, it has some diculties, especially in the beginning of the process when higher-order derivatives should be estimated [19,20]. The multi-time-step integrations, which use information of several previous time increments to integrate the current step, are another way for satisfying the continuity of higher- order time derivatives [16,22,24,28]. In spite of more requirement memory, multi-time-step integrations are more accurate and ecient than single-step methods. Here, a new multi-time-step integration, called Gen- eralized Implicit Higher Order Accuracy, i.e. G-IHOA method, is presented based on the idea of multi-time- step integrations. The fundamental relationships of G- IHOA are proposed as follows:
In this research, the researchers have purposively designed the authentication system with dynamic password to prevent the password capturing, sniffing, and decoding. The authentication system has been designed to have a short procedure and utilize a small number of factors (no need to verify an IP address) and resources. The system has been designed to operate rapidly and applicable to work on CPU because it is applied with the symmetric encryption and hashing function. Moreover, this system is easily understandable and can be simply implemented on web applications, mobile applications, and network devices. To make it clear, the final design is illustrated as a processing diagram to present the system’s operational procedure and its strong security to the readers. The diagram introduces the readers to the dynamic password generation (adding the password with the randomized string that has been hashed), difficulty in cracking, and safety in sending sensitive data (S1) from server to client with password used as the encoding key. Furthermore, the readers will see the security by not sending the key directly across the networks. As a consequence, with the researchers’ considerate designing, a person wishing to implement this model will be guaranteed that this authentication system has a very strong security.
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When you submit a DATA step for execution, SAS automatically compiles the DATA step and then executes it. At compile time, SAS creates the input buffer, program data vector, and descriptor information for the data set WEIGHT_CLUB. As the following figure shows, the program data vector contains the variables that are named in the INPUT statement, as well as the variable Loss. The values of the _N_ and the _ERROR_ variables are automatically generated for every DATA step. The _N_ automatic variable represents the number of times that the DATA step has iterated. The _ERROR_ automatic variable acts like a binary switch whose value is 0 if no errors exist in the DATA step, or 1 if one or more errors exist. These automatic variables are not written to the output data set.
Pioneered by (Hill et al., 2016; Dhingra et al., 2016; Sordoni et al., 2016; Kumar et al., 2015), who used a predetermined fixed number of rea- soning steps, Shen et al (2016; 2017) showed that multi-step reasoning outperforms single-step ones and dynamic multi-step reasoning further outperforms the fixed multi-step ones on two dis- tinct MRC datasets (SQuAD and MS MARCO). But these models have to be trained using rein- forcement learning methods, e.g., policy gradient, which are tricky to implement due to the instabil- ity issue. Our model is different in that we fix the number of reasoning steps, but perform stochastic dropout to prevent step bias. Further, our model can also be trained by using the back-propagation algorithm, which is simple and yet efficient. 7 Conclusion
Direct integration of the full equations of motion without the use of modal superposition is available in SAP2000 (2007). A variety of common methods are available for performing direct-integration time history analysis. The “Hilber-Hughes-Taylor alpha” (HHT) method was used, which was recommended in the SAP2000 (2007) manual. The HHT method uses a single parameter called alpha. This parameter may take values between 0 and -1/3. In this study the value was set to -1/3 which encourages convergence 
Analysis of sex and age composition of patients in the specified groups revealed their statistical comparability in relation to each other (Table 2): in whole the significant difference between groups according to gender was р=0,323 on the basis of M-L χ 2 test; according to age р=0,872 in accordance with ANOVA analysis of variance.
Modal analysis is used to determine the vibration characteristics (natural frequencies and mode shapes) of a structure or a machine component while it is being designed. It also serves as a starting point for another more detailed analysis, such as a transient dynamicanalysis a harmonic response analysis or a spectrum analysis. Modal analysis also used to determine the natural frequencies and mode shapes of a structure. The natural frequencies and mode shapes are important parameter in the design of a structure for dynamic loading condition. Allowable Limit.
Monitoring as an additional step within step-by-step Within certain limits the monitoring can be seen as an additional step of the step-by-step approach. The objec- tive of monitoring is to identify effects of the GMO(s) on human health or the environment which have not been discovered at the stage of the environmental risk assess- ment. For deliberate releases this is generally expressed in Art. 6 (2) (v) Directive 2001/18/EC . For the placing on the market, monitoring is differentiated into case-spe- cific monitoring (i.e. the confirmation of any assumption regarding the effect of the GMO) and general surveil- lance (i.e. the identification of adverse effects which were not anticipated). The possibility of requiring monitoring does however not allow the competent authority to shift the testing of grounded risk hypotheses to the monitor- ing stage. As said earlier, it must deny authorisation if the test could have been performed within previous steps. No obligation for proactive testing
What, exactly, does running the assembler actually accomplish? By itself, not much. Invoking the assembler alone is useful to determine if there are any errors in your source code file. If the file contains no errors, you still don't have an executable program file after the assembler has done its job. What you do have is a relocatable object file, with the same name as the current file but with an .OBJ file extension. In our example here, the assembler read in the current file, EAT2.ASM, and produced a new file, EAT2.OBJ. You can't run EAT2.OBJ, and you can't read it or print it. You can't do much of anything with it, in fact, except link it. As I explained in the previous chapter linking is a process by which one or more .OBJ files are translated into an executable program file with an .EXE extension. It's called linking because more than one .OBJ file can be combined into a single .EXE file through the linking process. However, even if you only have one .OBJ file (as we do here with EAT2) you must still perform the link step on that file to create an executable program file.
You can use the filtering feature to create custom views of printers, for example, it might be helpful to filter for printers with certain error conditions or those printers in a group of buildings regardless of the print server they use. Each view is dynamic, so the data is always up to date. All filtered views are stored in the Custom Printer Filters folder in the Print Management tree.
To illustrate basic meta-analysis, we provide an im- aginary data for the research question about Ebola vaccine safety (in terms of adverse events, 14 days after injection) and immunogenicity (Ebola virus antibodies rise in geometric mean titer, 6 months after injection). Assuming that from searching and data extraction, we decided to do an analysis to evaluate Ebola vaccine “A” safety and immunogenicity. Other Ebola vaccines were not meta-analyzed because of the limited number of studies (instead, it will be included for narrative review). The imaginary data for vaccine safety meta-analysis can be accessed in Additional file 7: Data S2. To do the meta-analysis, we can use free software, such as RevMan  or R package meta . In this example, we will use the R package meta. The tutorial of meta package can be accessed through “General Package for Meta-Analysis” tutorial pdf . The R codes and its guidance for meta- analysis done can be found in Additional file 5: File S3.
Opposite to the `process theory`, the model developed by Kanninen et al. (2017) (steps and capabilities for servitization n process industry companies) proves a higher accordance in steps completed by companies and mentioned within the model. Still not every step of the theory was conducted by the companies and similar to the `process theory`, no company knowingly search for or used the model. Still, even though not all steps were applied in the company’s transformation processes, the model by Kanninen et al. has the most congruence with what the companies did (or did similar). A step within the model that could be changed towards the results of the interviews would be the action of `Train sales forces to understand value of the services (…) `. Changing this step to `Repeat discussions and conversations about importance of services to employees` a higher applicability to what companies actually did comes forward. Following that one can assume that the model, compared to the representative theories used, fits best to the servitization processes of a company within the servitization process and medium global spatiality.
In the next step the two keys which are needed for the encryption and decryption of your e-mails are produced automatically. So that your e-mail program can also use these keys, they must be saved in the Windows Certificate Storage, which is already automatically on every Windows computer — therefore you need to do nothing. Simply click on OK, and the key production and storage occur automatically and invisibly in the background.
Journal of Technical Science and Technologies the one below (Table 4) should be generated for you. The next step towards obtaining our indirect path coeffi- cients is to bring forth our direct path coefficients gener- ated earlier (Table 5). With these two tables (Table 4 and Table 5), you can generate a table of indirect contributions for all variables in the equation.
5. On the Review and Save page, review the data. If it correctly reflects the desired change, click on Save. (If there are errors, click on Previous Step, return to the Edit page, make any changes, and click on Review.) 6. On the Confirmation page, click on the link to direct you to your next