Perhaps no other topic in contemporary genomics has inspired such diverse viewpoints as the 95+% of the genome, previously known as "junk DNA," that does not code for proteins. Here, we present a theory in which dark matter RNA plays a role in the generation of a landscape of spatial micro-domains coupled to the information signaling matrix of the nuclear landscape. Within and between these mic...

In recent years the mainstream framework for human-computer interaction research—information processing cognitive psychology—has come under increasing criticism because of serious problems in applying it in both research and practical design. In a debate within the HCI research community, the capability of information processing psychology has been questioned and new theoretical frameworks cons...

Rapid urbanization has caused many environmental problems, such as the heat island effect, intensifying air pollution, pollution from runoff, loss of wildlife habitat, etc. Accurate evaluations of these problems demand an accurate delineation of the spatial extent of the urban fringe. Conceptual and analytical ambiguity of the urban fringe and a general lack of consensus among researchers have ...

This paper reviews the conventional studies of Executive Information Systems (EIS) and related research areas. It is found that conventional EIS studies contribute little insights to the success development and adoption on EIS. Notably, there is a need for revitalising EIS design and development. A focus group study is conducted to explore and identify challenges faced by current managers’ info...

Recent theoretical work on solid-state proposals for the implementation of quantum computation and quantum information processing is reviewed. The differences and similarities between microscopic and macroscopic qubits are highlighted and exemplified by the spin qubit proposal on one side and the superconducting qubits on the other. Before explaining the spin and supercondcuting qubits in detai...

Information processing theory endeavors to quantify how well signals encode information and how well systems, by acting on signals, process information. We use information-theoretic distance measures, the Kullback-Leibler distance in particular, to quantify how well signals represent information. The ratio of distances between a system’s output and input quantifies the system’s information proc...

A survey is given summarizing the state of the art of describing information processing in Quantum Decision Theory, which has been recently advanced as a novel variant of decision making, based on the mathematical theory of separable Hilbert spaces. This mathematical structure captures the effect of superposition of composite prospects, including many incorporated intended actions. The theory c...