We investigate the stationarity of minification processes when the marginal is a discrete distribution. There is a close relationship between the problem considered by Arnold and Isaacson (1976) and the stationarity in minification processes. We give a necessary and sufficient condition for a discrete distribution to be the marginal of a stationary minification process. Members of the Poisson and negative binomial families can be the marginals of stationary minification processes. The geometric minification process is studied in detail, and two characterizations of it based on the structure of the innovation process are given.
Students in software engineering need experiences that prepare them for a global work environment that is more and more likely to be structured around team work in which team members may come from a variety of disciplines and cultures and be geographically dispersed. New grads in software engineering are more and more likely to communicate with team members and managers solely via electronic means (e.g. teleconference, videoconference, e-mail, e-file sharing). This paper describes a highly successful international collaboration of students from two universities enrolled in undergraduate software engineering classes, one in the USA and the other in India. Within a semester, these students collaborated remotely to produce software for a leading international software development company. This collaboration, repeated for two semesters and planned for a third, met all learning objectives while successfully producing the desired software. This experience truly engaged our students and enabled the students to learn via a standard course in software engineering about many aspects of professional practice without resorting to special programs like co-op/internships, honors /research independent study, or capstones.
We investigate the stationarity of minification processes when the marginal is a discrete distribution. There is a close relationship between the problem considered by Arnold and Isaacson (1976) and the stationarity in minification processes. We give a necessary and sufficient condition for a discrete distribution to be the marginal of a stationary minification process. Members of the Poisson and negative binomial families can be the marginals of stationary minification processes. The geometric minification process is studied in detail, and two characterizations of it based on the structure of the innovation process are given.
Students in software engineering need experiences that prepare them for a global work environment that is more and more likely to be structured around team work in which team members may come from a variety of disciplines and cultures and be geographically dispersed. New grads in software engineering are more and more likely to communicate with team members and managers solely via electronic means (e.g. teleconference, videoconference, e-mail, e-file sharing). This paper describes a highly successful international collaboration of students from two universities enrolled in undergraduate software engineering classes, one in the USA and the other in India. Within a semester, these students collaborated remotely to produce software for a leading international software development company. This collaboration, repeated for two semesters and planned for a third, met all learning objectives while successfully producing the desired software. This experience truly engaged our students and enabled the students to learn via a standard course in software engineering about many aspects of professional practice without resorting to special programs like co-op/internships, honors/research independent study, or capstones.
A fast, simple reversed-phase HPLC method and two spectrophotometric methods based on principal component regression and partial least squares calibrations were developed for determination of nebivolol (NEB) and hydrochlorothiazide (HCTZ) in formulations without prior separation or masking. The HPLC assay utilized a Phenomenex-Luna RP-18(2) 250 4.6 mm, 5 m column with acetonitrile0.03 aqueous formic acid, pH 3.3 (65 + 35, v/v), mobile phase at a flow rate of 1.0 mL/min, and UV detection at 277 nm. The retention times of NEB and HCTZ were 2.133 and 2.877 min, respectively. The total run time was <4 min. Chemometric calibrations were constructed by using an absorption data matrix corresponding to a concentration data matrix, with measurements in the range of 231310 nm ( 1 nm) in their zero-order spectra using 16 samples in a training set. The chemometric numerical computations were obtained by using R-Software Environment (Version 2.1.1). The proposed methods were validated for various International Conference on Harmonization regulatory parameters like linearity, range, accuracy, precision, robustness, LOD, LOQ, and HPLC system suitability. Laboratory-prepared mixtures and commercial tablet formulations were successfully analyzed using the developed methods. All results were acceptable and confirmed that the method is suitable for its intended use.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.