Modern classification and clustering techniques analyze collections of objects that are described by a set of useful features or parameters. Clustering methods group the objects in that feature space to identify distinct, well separated subsets of the data set. However, real observational data may contain missing values for some features. A “shape” feature may not be well defined for objects cl...

This paper explores knowledge services clusters (KSCs) as a distinct and increasingly important form of geographic cluster, in particular in emerging economies: KSCs are defined as geographic concentrations of lower-cost skills serving global demand for increasingly commoditized knowledge services. Based on prior research on clusters and services offshoring, and data from the Offshoring Researc...

In human epidermis, keratinocyte stem cells (KSC) are characterized by high levels of β1-integrin, resulting in the rapid adhesion to type IV collagen. Since epithelial tumors originate from KSC, we evaluated the features of rapidly adhering (RAD) keratinocytes derived from primary human squamous cell carcinoma of the skin (cSCC). RAD cells expressed higher levels of survivin, a KSC marker, as ...

Article history: Received 30 October 2015 Received in revised form 3 March 2016 Accepted 8 March 2016 Available online 17 March 2016 In many scientific areas, researchers collect multivariate time profile data on the evolution of a set of variables across time for multiple persons. For instance, clinical studies often focus on the effects of an intervention on different symptoms for multiple pe...

Evaluating and prioritizing advanced-technology projects is a particularly difficult task for the staff at the Kennedy Space Center (KSC) shuttle project engineering office. Because the evaluation process is complex and unstructured, decision makers (DMs) must consider vast amounts of diverse information concerning safety, systems engineering, cost savings, process enhancement, reliability, and...

In this work a new model for online clustering named Incremental Kernel Spectral Clustering (IKSC) is presented. It is based on Kernel Spectral Clustering (KSC), a model designed in the Least Squares Support Vector Machines (LS-SVMs) framework, with primal-dual setting. The IKSC model is developed to quickly adapt itself to a changing environment, in order to learn evolving clusters with high a...

Highly frustrated spin systems such as the kagome lattice (KL) are a treasure trove of new quantum states with large entanglements. We thus study spin-$\frac{1}{2}$ Heisenberg model on kagome-strip chain (KSC), which is one-dimensional KL, using density-matrix renormalization group (DMRG) method. Calculating central charge and entanglement spectrum for KSC, we find novel gapless liquid state do...

The Notch signaling pathway orchestrates cell fate by either inducing cell differentiation or maintaining cells in an undifferentiated state. This study aims to evaluate Notch expression and function in normal human keratinocytes. Notch1 is expressed in all epidermal layers, though to a different degree of intensity, with a dramatic decrease during ageing. Notch1 intracellular domain (N1ICD) le...