Unique or Adjustable Business Model for Distributed Ledger Technology?

We examine whether business model concepts, that demonstrate significant convergence to Distributed Ledger Technology (DLT) attributes, fit to DLT ecosystem characteristics and identify similarities and deflections. We answer the question whether the appropriate DLT business model is totally unique or adjustable and what conditions need to be met. The study follows a conceptual approach that is based on critical examination of three business model types that demonstrate similarities to the business model that an organization needs to adopt in order to fit in DLT ecosystem characteristics. Although each one of the network, digital and information business model types demonstrate similarities to DLT business model and reveal some resemblance with it, there are critical parameters that are neither addressed nor partially met. The main contribution of study is the exploration of the adjustable nature of the DLT business. Moreover, we highlighted the challenge for DLT ecosystem sustainability, defined and reviewed the conditions that need to be considered for DLT business model design

Nanoinformatics: developing new computing applications for nanomedicine

Nanoinformatics has recently emerged to address the need of computing applications at the nano level. In this regard, the authors have participated in various initiatives to identify its concepts, foundations and challenges. While nanomaterials open up the possibility for developing new devices in many industrial and scientific areas, they also offer breakthrough perspectives for the prevention, diagnosis and treatment of diseases. In this paper, we analyze the different aspects of nanoinformatics and suggest five research topics to help catalyze new research and development in the area, particularly focused on nanomedicine. We also encompass the use of informatics to further the biological and clinical applications of basic research in nanoscience and nanotechnology, and the related concept of an extended ?nanotype? to coalesce information related to nanoparticles. We suggest how nanoinformatics could accelerate developments in nanomedicine, similarly to what happened with the Human Genome and other -omics projects, on issues like exchanging modeling and simulation methods and tools, linking toxicity information to clinical and personal databases or developing new approaches for scientific ontologies, among many others

Induction of "In-between " Classes: Learning Vague Concepts

ABSTRACT: This paper presents a synergistic iterative process, SIR, for resolving between classes assigned to cases. The "vagueness " of concepts, represented by multi-class assignment to cases, is a common phenomenon in the context of concept learning from examples (CLFE) paradigm. The causes could be attributed to the specifics of the application domain, to the poor initial representation or, to the learning heuristics themselves. The methodology presented in this paper take advantage of multi-class assignment in order to improve learning results. Our methodology implements a two-step iterative process: (1) an inductive algorithm runs on the training set of cases, and (2) application of a specially devised set of heuristics aiming to invent new classes, and resolve the conflict presented by multi-class assignment. Thus, "vague " concepts, laying "in-between " the underlying concepts, are learned. Experiments on real-world domains from medicine and finance are presented, and the utility of the SIR process in decision-making tasks is discussed