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Delphi Prism 2011 Serial Number



If you are an Embarcadero Prism or RAD Studio customer with software assurance covering Prism, you will have received serial numbers for XE3, XE3.1 and XE3.2, depending on how long your SA was active.




delphi prism 2011 serial number



As a first step, if you haven't done so already, please register your newest XE2.x or XE3.x serial numbers with us. This will give you access to the relevant downloads for Oxygene for .NET 6.0, directly from our website, up to and including the July 2013 release (XE3.2).


If you have an XE2 or XE3 serial number, we still encourage you to register it with us, but a registered serial number is not required for this purchase, and the cross-grade is available to users on older versions of Prism (such as Prism XE, or Prism 2008/2009), as well as all "native" Delphi users.


A: Short answer: Yes. Since August 2013, we have contacted all customers who have registered their XE3.2 serial numbers with us to coordinate your SA expiration and how you will receive future updates to Oxygene 6.1 and possibly beyond. If you have not received an email from us, please contact us at sales@remobjects.com so we can sort you out.


A: No. Oxygene 6.0 is the last release of Oxygene for .NET to be made available under the Prism name, and the last release to accept Embarcadero serial numbers for activation. Starting with Oxygene 6.1 shipped in August 2013, Oxygene will be available exclusively under the "Oxygene" name, and exclusively using our much more flexible and customer-beloved no-nonsense "Everwood" licensing system.


Once downloaded, I have to pass a license screen and enter a serial number. Presuming you have a current subscription, you can get a serial number by logging on to you Embarcadero account and requesting it there, where it is supplied instantly. This part of the process is similar to that used by Microsoft for MSDN subscriptions. It is a shame it is not built into the All Access desktop client, but a minor inconvenience.


Your earlier version license, and the XE2 version you upgrade to, are considered one named user license that covers both versions. If you already own an earlier version and go to the web page and request the same version license, you will just get a re-send of your existing serial number.


It could be a little confusing for some customers when they purchase RAD Studio XE2 and receive twelve different serial numbers and download links. We tried to keep it simple by just delivering the XE2 license and allowing them to request the other licenses as needed.


InterBase XE Developer Edition is InterBase XE Server licensed for up to 20 users and 80 logical connections. You can install InterBase Developer Edition on a server for testing purposes using the serial number included in the Delphi XE2 readme file or you can download and request a serial number from the InterBase download page at .


We examined temporal variations in overall Emergency Medical Services (EMS) demand, as well as medical and trauma cases separately. We analyzed cases according to time of day and day of week to determine whether population level demand demonstrates temporal patterns that will increase baseline knowledge for EMS planning. We conducted a secondary analysis of data from the Ambulance Victoria data warehouse covering the period 2008-2011. We included all cases of EMS attendance which resulted in 1,203,803 cases for review. Data elements comprised age, gender, date and time of call to the EMS emergency number along with the clinical condition of the patient. We employed Poisson regression to analyze case numbers and trigonometric regression to quantify distribution patterns. EMS demand exhibited a bimodal distribution with the highest peak at 10:00 and a second smaller peak at 19:00. The highest number of cases occurred on Fridays, and the lowest on Tuesdays and Wednesdays. However, the distribution of cases throughout the day differed by day of week. Distribution patterns on Fridays, Saturdays and Sundays differed significantly from the rest of the week (p


Many attempts have been made to determine a sound forecasting method regarding earthquakes and warn the public in turn. Presently, the animal kingdom leads the precursor list alluding to a transmission related source. By applying the animal-based model to an electromagnetic (EM) wave model, various hypotheses were formed, but the most interesting one required the use of a magnetometer with a differing design and geometry. To date, numerous, high-end magnetometers have been in use in close proximity to fault zones for potential earthquake forecasting; however, something is still amiss. The problem still resides with what exactly is forecastable and the investigating direction of EM. After a number of custom rock experiments, two hypotheses were formed which could answer the EM wave model. The first hypothesis concerned a sufficient and continuous electron movement either by surface or penetrative flow, and the second regarded a novel approach to radio transmission. Electron flow along fracture surfaces was determined to be inadequate in creating strong EM fields, because rock has a very high electrical resistance making it a high quality insulator. Penetrative flow could not be corroborated as well, because it was discovered that rock was absorbing and confining electrons to a very thin skin depth. Radio wave transmission and detection worked with every single test administered. This hypothesis was reviewed for propagating, long-wave generation with sufficient amplitude, and the capability of penetrating solid rock. Additionally, fracture spaces, either air or ion-filled, can facilitate this concept from great depths and allow for surficial detection. A few propagating precursor signals have been detected in the field occurring with associated phases using custom-built loop antennae. Field testing was conducted in Southern California from 2006-2011, and outside the NE Texas town of Timpson in February, 2013. The antennae have mobility and observations were noted for


To assess the association between weekly working hours and self-rated health of nurses in public hospitals in Rio de Janeiro, State of Rio de Janeiro, Brazil. A total of 3,229 nurses (82.7% of the eligible group) participated in this cross-sectional study, carried out between April 2010 and December 2011. The collection instrument consisted of a self-administered multidimensional questionnaire. The weekly working hours were calculated from a recall of the daily hours worked over seven consecutive days; this variable was categorized according to tertiles of distribution for men and women. The outcome of interest, self-rated health, was categorized into three levels: good (very good and good), regular, and poor (poor and very poor). The statistical analysis of the data included bivariate and multivariate analyses, having as reference group those with short working hours (first tertile). All the analyses were stratified by gender and elaborated using the program SPSS. Among women, the group corresponding to the longest working week (more than 60.5 hours per week) were more likely to report regular self-rated health, compared with those with shorter working hours, after adjusting for confounding factors (OR = 1.30; 95%CI 1.02-1.67). Among men, those with average working hours (49.5-70.5 hours per week) were more than twice as likely to rate their health as regular (OR = 2.17; 95%CI 1.08-4.35) compared to those with shorter working hours (up to 49.5 hours). There was no significant association between long working hours and poor self-rated health. The results point to the urgent need to promote interventions in the organization of work and appreciation of the nursing profession, in order to reduce the number of multiple jobs and thus contribute to mitigate potential effects on the health of workers and the quality of care in hospitals. Avaliar a associação entre horas de trabalho semanais e autoavaliação de saúde de enfermeiros em hospitais públicos do Rio de


number. 1. REPORT DATE JUN 2011 2 . REPORT TYPE N/A 3. DATES COVERED - 4. TITLE AND SUBTITLE EM61 MK2 Cart Data Collection and Analysis... 2 1.3 REGULATORY DRIVERS... 2 1.3.1 OBJECTIVE OF THE ADVISORY GROUP .......................................................... 2 2.0 TECHNOLOGY


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