1. Part A: Concepts and Theory Relating Disturbance Ecology to Restoration 1.1 The general role of disturbance in restoration 1.2 Continuous versus discrete processes in ecosystem dynamics 1.3 Significance of disturbance for ecosystem dynamics 1.4 Disturbance definition 1.5 The patch and multi-patch concept 1.6 Disturbance as a filter in community assembly and a tool in restoration 1.7 Dynamic ...

The work introduces Island Restoration Scheme (IRS) with online restoration of missing sensor data. This paper focuses on the Restoration Scheme with Intelligent Sensing and Monitoring and also entails fuzzy logic theory representation for alarm analysis in electrical power system based on expert system . Theoretical and mathematical representation of alarm analysis for fault diagnosis has also...

We discuss how transitions in the space of heterotic K3×T 2 compactifications are mapped by duality into transitions in the space of Type II compactifications on Calabi–Yau manifolds. We observe that perturbative symmetry restoration, as well as non-perturbative processes such as changes in the number of tensor multiplets, have at least in many cases a simple description in terms of the reflexi...

Thermal fluctuations of the gauge field lead to monopole formation at the grand unified phase transition in the early universe, even if the transition is merely a smooth crossover. The dependence of the produced monopole density on various parameters is qualitatively different from theories with global symmetries, and the monopoles have a positive correlation at short distances. The number dens...

The paper discusses conservation theories and practices, taken as its central argument the disjunction between architectural and conservation theories with regards to the concept of space. It argues that space is a central concept of modern architecture and should be observed as an object of interest for conservation and restoration. Morphological properties of space and methodological procedur...

Automatic speech recognition systems generally produce unpunctuated text which is difficult to read for humans and degrades the performance of many downstream machine processing tasks. This paper introduces a bidirectional recurrent neural network model with attention mechanism for punctuation restoration in unsegmented text. The model can utilize long contexts in both directions and direct att...