Abstract A basis of fundamental knowledge different basic income approaches (BI) is essential to be elaborated for enhancing the prevalent debates on BI as an important solution social transformation. Aiming contribute current gaps and future research agendas BI, this paper elaborates theories empirical cases, linkage, between these two parts. total 152 pieces literature cases were intensively ...

We compare four algorithms from the latest LAPACK 3.1 release for computing eigenpairs of a symmetric tridiagonal matrix. These include QR iteration, bisection and inverse iteration (BI), the Divide-and-Conquer method (DC), and the method of Multiple Relatively Robust Representations (MR). Our evaluation considers speed and accuracy when computing all eigenpairs, and additionally subset computa...

Business Intelligence (BI) includes many tools, techniques and technologies. BI processes often involve team of human decision makers and end-users to extract, explore and analyse the data. The results, decisions or models after analysis need to be implemented into operational systems. There can be considerable time delay between business events happening and action taken thus loosing opportuni...

generalizing the concepts of -fuzzy (left, right, lateral) ideals, -fuzzy quasi-ideals and   -fuzzy bi (generalized bi-) ideals in ternary semigroups, the notions of -fuzzy (left, right, lateral) ideals, -fuzzy quasi-ideals and -fuzzy bi (generalized bi-) in ternary semigroups are introduced and several related properties are investigated. some new results are obtained.

Neighbor discovery is a fundamental task for wireless networks deployment. It is essential for setup and maintenance of networks and is typically a precondition for further communication. In this work we focus on passive discovery of networks operating in multi-channel environments, performed by listening for periodically transmitted beaconing messages. It is well-known that performance of such...

Supplier selection and material procurement planning are the most important issues in supply chain management. This decision is complicated when the buyers face with discount price schemes. In real situation, each supplier may apply different methods such as different types of discount schedules and various types of payment in order to increase market share. In this situation, buyers try to sel...

Material and methods Since October of 2012, when our outpatient clinic transitioned to an EHR, we implemented the AUDIT and DAST-10 questionnaires as Epic SmartPhrases. A high score on either questionnaire prompts a “brief intervention” (BI), which includes offering the patient a printed brochure. To our SmartPhrases, we added hyperlinks (to http://www.sbirtonline.org and http://www.drugabuse.g...

Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collection of offline and online methods as well as tools for evaluation. In particular, it implements boosting, bagging, and Hoeffding Trees, all with and without Naı̈ve Bayes classifiers at the leaves. MOA supports bi-directi...

We study the problem of matrix estimation and matrix completion under a general framework. This framework includes several important models as special cases such as the gaussian mixture model, mixed membership model, bi-clustering model and dictionary learning. We consider the optimal convergence rates in a minimax sense for estimation of the signal matrix under the Frobenius norm and under the...

We will investigate the ring of ”Gaussian integers” Z[i] = {a + bi | a, b ∈ Z}. First we will show that this ring shares an important property with the ring of integers: every element can be factored into a product of finitely many ”primes”. This result is the key to all the remaining concepts in this paper, which includes the ring Z[i]/αZ[i], analogous statements of famous theorems in Z, and q...