布比卡因和罗哌卡因用于术后止痛和癌痛止痛的常用浓度是
A．布比卡因常用0．125％～0．15％，一般不超过0．25％
B．罗哌卡因常用0．25％～0．375％，一般不超过0．5％
C．布比卡因常用0．25％～0．5％，一般不超过0．75％
D．罗哌卡因常用0．2％
E．布比卡因常用0．5％～0．75％，一般不超过1％
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TEXT B Computer programmers often remark that computing machines, with a perfect lack of discrimination, will do any foolish thing they are told to do. The reason for this lies, of course, in the narrow fixation of the com puting machine’s "intelligence" on the details of its own perceptions its inability to be guided by any large context. In a psychological description of the computer intelligence, three related adjectives come to mind: single- minded, literal-minded, and simple-minded. Recognizing this, we should at the same time recognize that this single-mindedness, literal-mindedness, and simple-mindedness also characterizes theoretical mathematics, though to a lesser extent. Since science tries to deal with reality, even the most precise sciences normally work with more or less imperfectly understood approximations toward which scientists must maintain an appropriate skepticism. Thus, for instance, it may come as a shock to mathematicians to learn that the Schrodinger equation for the hydrogen atom is not a literally correct description of this atom, but only an approximation to a somewhat more correct equation taking account of spin, magnetic dipole, and relativistic effects; and that this corrected equation is itself only an imperfect approximation to an infinite set of quantum field theoretical equations. Physicists, looking at the original Schrodinger equation, learn to sense in it the presence of many invisible terms in addition to the differential terms visible, and this sense inspires an entirely appropriate disregard for the purely technical features of the equation. This very healthy skepticism is foreign to the mathematical approach. Mathematics must deal with well-defined situations. Thus, mathematicians depend on an intellectual effort outside of mathematics for the crucial specification of the approximation that mathematics is to take literally. Give mathematicians a situation that is the least bit ill-defined, and they will make it well-defined, perhaps appropriately, but perhaps inappropriately. In some cases, the mathematicians’ literal-mindedness may have unfortunate consequences. The mathematicians turn the scientists’ theoretical assumptions, that is, their convenient points of analytical emphasis, into axioms, and then take these axioms literally. This brings the danger that they may also persuade the scientists to take these axioms literally. The question, central to the scientific investigation but intensely disturbing in the mathematical context what happens if the axioms are relaxed--is thereby ignored. The physicist rightly dreads precise argument, since an argument that is convincing only if it is precise loses all its force if the assumptions on which it is based are slightly changed, whereas an argument that is convincing though imprecise may well be stable under small perturbations of its underlying assumptions. (419)
A．mathematicians are better able to solve problems than scientistsB．changes in axiomatic propositions will inevitably undermine scientific argumentsC．well-defined situations are necessary for the design of reliable experimentsD．some factors in most situations must remain unknown
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以下程序的运行结果是( )。 class Person{ public Person() { System.out.println("this is a Person"); } } public class Teacher extends Person { private String name="tom"; public Teacher() { System.out.println("this is a teacher"); Super(); } public static void main(String args[]) { Teacher teacher = new Teacher(); System.out.println(this.name); } }
A. this is a Person this is a teacher tom B. this is a teacher this is a Person tom C. 编译出错 D. 以上说法都不正确
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