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The European Patent Convention does not mention method patents (called process patents) so prominently, and the same applies to the TRIPS Agreement. The prime characteristic of process patents in these treaties is that "the protection conferred by the patent shall extend to the products directly obtained by such process". [8] Art. 28(1)(b ...
On review in 2014 the Supreme Court reduced the patent-eligibility of software patents or patents on software for business methods, excluding abstract ideas from the list of eligible subject matters. After much confusion within the patent examiners and patent practitioners, the USPTO prepared a list of examples of software patent claims that ...
A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...
The values are ordered in a logical way and must be defined for each variable. Domains can be bigger or smaller. The smallest possible domains have those variables that can only have two values, also called binary (or dichotomous) variables. Bigger domains have non-dichotomous variables and the ones with a higher level of measurement.
The change in one or more independent variables is generally hypothesized to result in a change in one or more dependent variables, also referred to as "output variables" or "response variables." The experimental design may also identify control variables that must be held constant to prevent external factors from affecting the results ...
Patentable, statutory or patent-eligible subject matter is subject matter of an invention that is considered appropriate for patent protection in a given jurisdiction. The laws and practices of many countries stipulate that certain types of inventions should be denied patent protection.
In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest–posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned.
Manipulations are not intended to verify that the manipulated factor caused variation in the dependent variable. This is verified by random assignment, manipulation before measurement of the dependent variable, and statistical tests of effect of the manipulated variable on the dependent variable. Thus, a failed manipulation check does not ...