We say that a class D of categories is the Bourn localization of a class C of categories, and we write D = Loc(C), if D is the class of all (finitely complete) categories D such that for each object A in D, Pt(D ↓ A) ∈ C, where Pt(D ↓ A) denotes the category of all pointed objects in the comma-category (D ↓ A). As D.Bourn showed, if we take D to be the class of Mal’tsev categories in the sense ...

The clustering algorithm hybridization scheme has become of research interest in data partitioning applications in recent years. The present paper proposes a Hybrid Fuzzy clustering algorithm (combination of Fuzzy C-means with extension and Subtractive clustering algorithm) for data classifications applications. The fuzzy c-means (FCM) and subtractive clustering (SC) algorithm has been widely d...

Abstract In this study, a mathematical model is proposed for CO2 separation from N2/CO2 mixtureusing a hollow fiber membrane contactor by various absorbents. The contactor assumed as non-wetted membrane; radial and axial diffusions were also considered in the model development. The governing equations of the model are solved via the finite...

Aim: The purpose of this in vitro study was to evaluate if the marginal discrepancy and internal fit maxillary complex provisional bridge is improved by either 3D printing or CAD/CAM fabrication technique Methodology: In present a total sixteen samples (Eight each group) fabricated two methods using same STL file. Eight were from Telio CAD Subtractive CAM method (ARUM 5X- 400 Milling machine) (...

Generalised halfspace depth function is proposed. Basic properties of this depth function including the strong consistency are studied. We show, on several examples that our depth function may be considered to be more appropriate for nonsymetric distributions or for mixtures of distributions.

Sensory pathways process behaviorally relevant signals in various contexts and therefore have to adapt to differing background conditions. Depending on changes in signal statistics, this adjustment might be a combination of two fundamental computational operations: subtractive adaptation shifting a neuron's threshold and divisive gain control scaling its sensitivity. The cricket auditory system...

To identify genes associated with morphological phenotypes of human bladder transitional cell carcinoma, we used suppression subtractive hybridization (SSH) to create a subtractive cDNA library of two established cell lines, BLZ-211 and BLS-211, derived from a patient with transitional cell carcinoma of the bladder, then to screen for differentially expressed genes. Real-time reverse transcript...

This article presents a study of academic performance evaluation using soft computing techniques inspired by the successful application of K-means, fuzzy C-means (FCM), subtractive clustering (SC), hybrid subtractive clustering-fuzzy C-means (SC-FCM) and hybrid subtractive clustering-adaptive neuro fuzzy inference system (SC-ANFIS) methods for solving academic performance evaluation problems. M...

PURPOSE To evaluate the fit of a three-unit metal framework of fixed dental prostheses made by subtractive and additive manufacturing. MATERIALS AND METHODS One master model of metal was fabricated. Twenty silicone impressions were made on the master die, working die of 10 poured with Type 4 stone, and working die of 10 made of scannable stone. Ten three-unit wax frameworks were fabricated by...