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While at the exhibition, the visitors visual attention is free to experience the physical environment, especially for the exhibits At home, after the visit to the exhibition, additional multimodal information about the exhibition is available including text, graphics, and animations (iv) Adaptation to the user's knowledge and interests The amount of knowledge and level of interest the various users have in the subject in question can vary signi cantly The adaptive component runs a user model describing the users' knowledge and the interests This model automatically evaluates each user's interaction with the exhibition information system and his navigation through the exhibits, that is in the physical space Importantly, the exhibition system cannot acquire knowledge from external sources, but is restricted to basing its responses on the user's interactions with the system Alternatively the system can allow the user to specify prominent interests in a user pro le dialogue..

Generally, a standard real estate option endorsement does not insure against loss or damage caused by: 1. Disaffirmance of the real estate option, under the provisions of the U.S. Bankruptcy Code. The interest of a real estate optionee is subject to being rejected as an executory contract under the U.S. Bankruptcy Code in the event the optionor files a bankruptcy petition. 2. The effect of any condemnation proceeding, including the failure of the optionee to receive all or part of an award entered in a condemnation proceeding, unless failure to share in the award stems solely from a court order or judgment, constituting a final determination that the option is invalid. 3. Any lien or right to a lien for services, labor, or material imposed by law. 4. Expenses required to enforce a real estate option and to obtain a transfer of title from the optionor and any other party holding title to any interest in the property at the time the option is exercised. 5. Expense of obtaining valid conveyances or release of any rights, interests, or liens related to the property that appear in the public records or are known to the insured at the time of exercising the real estate option.

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If the surgical specimen has clear margins, and the patient wishes to preserve fertility, the patient is effectively treated. In a retrospective review of 166 patients with microinvasive squamous cell carcinoma, surgical treatments with conization, simple hysterectomy, and radical hysterectomy were compared. Of the patients who underwent conization, none developed recurrent invasive cancer, but 3 out of 30 developed CIN 3.34 A conization could be offered as a fertility-sparing treatment option if indeed microinvasive squamous cell carcinoma is present. Gaducci and colleagues looked retrospectively at

Just as all properties are not option properties, not all properties are LASH property candidates. The LASH strategy works best on small mismanaged rental properties that: 1. Are located in stable, low-crime, moderate-income neighborhoods near large employers, military bases, schools, shopping centers, and healthcare facilities. 2. Have below-market rental rates that can be increased by at least $150 per rental unit once the property turnaround has been completed.

150 Latency, (ps)

The EJBContext interface is extended by the SessionContext and EntityContext interfaces, which contain methods peculiar to the two bean types.

Stand-Alone Capital for the Three Business Units We can again use the Merton Perold approximation to obtain stand-alone economic capital measures for each of the three businesses: Business 1 = 0.4 1,000 0.20 1 = 80 Business 2 = 0.4 1,000 0.25 1 = 100 Business 3 = 0.4 1,000 0.40 1 = 160 Note that the sum of the stand-alone capital for the three business units is 340. The difference between this sum and the capital of 222 for the entire bank is due to diversi cation. Stand-alone capital for the individual businesses does not take into account the diversi cation that the businesses provide to one another.

ln(L0) is the natural log of the (logit or probit) likelihood of the null model (intercept only) n0 is the number of observations with a value of 0 (zero = no default) n1 is the number of observations with a value of 1 (= default) and n is the total number of observations. There are several computational methods (optimization algorithms) to obtain the maximum likelihood (Newton Raphson, quasi-Newton, Simplex, etc.).

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