Association influencing factors

To justify the adequacy (adequate to eliminate, prevent, or reduce risk to SFARP) of the control measure. These control measures shall be effective and viable. For these, associated influencing factors may be ... 

The coefficients (associated with variables) are proportional to the so-called main effects and the interaction effects if more than one variable is involved. The identification of such effects is important in evironmental research. Of special interest may be the interaction of influencing factors in the sense of synergistic or antagonistic effects. An illustrative example from the field of environmental research is given in Section 10.2. 

Sleep apnea has been shown to be a risk factor for glaucoma in some studies (Pearson, 2000). Myopia may be another risk factor for glaucoma (Daubs and Crick, 1981). The relatively thin eye wall and large globe in severely nearsighted people suggest a possible susceptibility to stretching under the influence of lOP. The association between factors such as concurrent cardiovascular disease (Tielsch, 1991) has not been demonstrated consistently. 

In the scientific approach the assessment of the representativeness, repeatability and reproducibility of the method is performed with reference to the different constitutive elements and features. Evidence should describe the representativeness of the selected properties and the associated uncertainty. This can be based on information published in the scientific and technical hterature or on ad hoc investigations performed by the laboratory developing the method. The laboratory shall demonstrate that relevant influencing factors (instrumental and technical, human, environmental) have been analyzed and that they are under control within the uncertainty associated with themethod. 

Fig. 4.15 (Li et ah, 2006b) shows the results of cluster analysis for all forms of IC and their influencing factors, which can indicate which factor has a close relationship with which IC form. On the whole, all the IC forms are influenced by physical factors indirectly through acting with chemical factors. But chemical factors influence IC directly and, moreover, OC has a close relationship with the NaOH form and a weak relationship with the HCl form. Its relationship with the NH20H-HC1 form and TIC is weaker than its relationship with the NaCl form, but closer than its relationship with the HCl form. OP and TP have a close relationship with the NH2OH-HCI form and TIC, but the weakest relationship with the HCl form and a weaker relationship with other forms of IC. TN, IN, and ON have only a weak relationship with all IC forms. All these revealed that the association between the HCl form...

In diverging phases, adequate support facilitates the generation and evaluation of explicit product information from abstract ideas. A dedicated work environment for performing product development tasks can offer such support by assessing a design in different contexts. These environments are called synthetic environments. In synthetic enviromnents, the use of a.o. media and virtual reality techniques triggers the use of the associative capacities of the stakeholders involved in the performance of the task. They therefore allow development activities based on aggregate influence factors. 

The electrical supply equipment is the second biggest equipment package after the mechanical equipment. The package includes the transformer/rectifier (T/R) sets and bus bars for providing DC power to the cells, the associated power factor correction equipment and harmonics filtration equipment, and the service transformers and circuitry. This equipment will typically comprise about 15 - 25 % of the cellhouse cost. The cost is heavily influenced by whether or not an electrical substation is included, and by the redundancy requirements for the T/R sets. A plant can choose to have no spare T/R capacity, partial redundancy, or full redundancy. Such cost savings must be weighed against the cost of lost production when a T/R set fails. 

Some elements in the third level of the hierarchy are not PSFs, rather they are behaviors that can be associated with a specific PSF. These behaviors have been italicized in Fig. 2 to differentiate them from third level PSFs. While the associated behaviors are not influencing factors, it is necessary to retain them as part of the hierarchy because they provide essential information about largely rmobservable internal factors. The inclusion of these behaviors helps clarify vague terms like work conduct work conduct itself cannot be directly observed, but compliance behavior can be observed. 

The influence of the value levers on each other is modeled with reference to Asavathiratham s influence modeling approach [58]. The value levers consist of the sum of specific system characteristics deltas multiplied by their associated weighing factors. The system-characteristic deltas are based on a reference aircraft s characteristics, correlating to those of the aircraft under consideration. For example, the Cost value lever is expanded as shown in Eq. (20.8). 

The paper presents analysis of influencing factors associated with difference between calculated value and measured value of self-weight collapse settlement of loess site based on in-situ immersion tests in recent years, and makes a study of effect of discontinuous distribution of collaspsible loess by numerical analysis, and comes up with improved formula for self-weight collapse settlement calculation. The conslusions are as follows ... 

With the help of variance analysis, it is determined how far the variance of observed variable X can be traced back to suspected influence factors. These influence factors may be qualitative or quantitative variables. Variance analysis is based on the assumption that, in addition to data of the observed variable X, data on other suspected influence factors are also present in a measuring series, whereby these influence factors can be classified in such a way that each observed value of X can be associated to a class i. In the case of a simple variance analysis with one additional influence quantity, the following equation will result for X ... 

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