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Section 3. A provisional General Assembly shall be convened in the following cases, and in case 2 and 3, the convocation must be announced within 10 days thereafter:1 When the President deems it necessary2 When more than one third of the members or the delegates brought forward subject matters for discussion and requested the convocation of the General Assembly3 When the Delegates Assembly convenes a General AssemblySection 4. The convocation of the General Assembly shall be notified at least 7 days before the meeting, along with the agenda including the date, time and location of the meeting as well as the subject matters for discussion. However, in case of an emergency General Assembly, the convocation may be notified a day before the meeting. Section 5. In the event that there is no one with the authority to convene a General Assembly, the oldest of the union members shall convene the General Assembly.
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Fundamentally parsing is necessary because different entities need the data to be in different forms. Parsing allows to transform data in a way that can be understood by a specific software. The obvious example are programs: they are written by humans, but they must be executed by computers. So humans write them in a form that they can understand, then a software transform them in a way that can be used by a computer. However parsing might be necessary even when passing data between two software that have different needs. For instance, it is needed when you have to serialize or deserialize a class. In this section we are going to describe the fundamental components of a parser. We are not trying to give you formal explanations, but practical ones. Regular expression are often touted as the thing you should not use for parsing. This is not strictly correct, because you can use regular expressions for parsing simple input. The problem is that some programmers only know regular expressions.
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As a representation of the ride sharing service, Greenwood and Wattal made use of information on Uber. More specifically, they analyzed Ubers information between 2009 and 2014 in California and chose Uber X and Uber Black as representative services of a discount 20% 30% under traditional taxi fares and premium service 20% 30% over traditional taxi fares, respectively. With regard to the dataset on motor vehicle fatalities, the researchers took advantage of the sources in the California Highway Patrols Statewide Integrated Traffic Report System SWITRS. After combining both the Uber information with the SWITRS sources, a dataset of 12,420 observations spanning between January 2009 and September 2014 over 540 townships in the state of California, was able to be produced. A difference in difference estimation was employed on the dataset, since it allowed for an imitation of an experimental design while using observational data, which led to the comparison of the number of fatalities changes after the application of the treatment over time. The results confirm that a discount ride sharing service e.
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' "In the book, The Over Scheduled Child: Avoiding the Hyper Parenting Trap, authors Alvin Rosenfield, M. D. and Nicole Wise discuss this issue. Rosenfield believes it's the parents who are driving this, "it's how we parent today. ""Parents feel remiss that they're not being good parents if their kids aren't in all kinds of activities. Children are under pressure to achieve, to be competitive.