Rank of Stably Dissipative Graphs

For the class of stably dissipative Lotka-Volterra systems we prove that the rank of its defining matrix, which is the dimension of the associated invariant foliation, is completely determined by the system's graph

The Digital Archiving of Historical Political Cartoons: An Introduction

Political (editorial) cartoons often capture the Zeitgeist of society and convey a message. Increasingly, historians study them to understand commentaries of past events or personalities. Visual culture as an academic subject could be greatly enhanced if this information can be digitally archived. We employ crowdsourcing to obtain valuable metadata by guiding volunteers' feedback using an online survey with 31 targeted questions. We provide intellectual access to a set of about 300 cartoons of a single creator spanning over multiple years in a highly interactive search engine.

Whose Story is it? An Auto Ethnography Concerning Narrative Identity

This paper begins by outlining the theoretical and methodological contexts for the use of autoethnographic short stories in the human sciences. This sets the scene for the second part of the paper, an autoethnographic short story based on the first author\u27s memories of his early life. In part three, some of the significant issues raised in the story are discussed in relation to larger, co-evolving, social, cultural and therapeutic frameworks from a reflexive and narrative identity perspective

Emerging Business Models for Local Distribution Companies in Ontario

Local Distribution Companies (LDCs) have the potential to be leaders in coordinating and stewarding a Sustainable Energy Transition (SET) in Ontario. However, under the current LCD business model structure, LDCs are unable to capture the benefits from sustainable energy and advance a sustainable energy transition. Separately from LDC operations, sustainable energy is disrupting the electricity system through the proliferation of Distributed Energy Resources, Information and Communication Technology occurring Behind the Meter (BTM). The adoption of BTM applications erodes LDC profitability and threatens their existence. The pushing force from an outdated LDC business model compounded with the pulling force from disruptive sustainable technology has created an opportunity for LDCs to innovate their business model in order to adapt to the changing energy paradigm of the 21st century. This paper explores and evaluates seven emerging LDC business models used in Ontario and provides a recommendation of a possible pathway for a viable LDC business model that can leverage sustainable energy while maintaining the electrical grid infrastructure

Use of thermal signal for the investigation of near-surface turbulence

Organised motion of air in the roughness sublayer of the atmosphere was investigated using novel temperature sensing and data science methods. Despite accuracy drawbacks, current fibre-optic distributed temperature sensing (DTS) and thermal imaging (TIR) instruments offer frequent, moderately precise and highly localised observations of thermal signal in a domain geometry suitable for micrometeorological applications near the surface. The goal of this study was to combine DTS and TIR for the investigation of temperature and wind field statistics. Horizontal and vertical cross-sections allowed a tomographic investigation of the spanwise and streamwise evolution of organised motion, opening avenues for analysis without assumptions on scale relationships. Events in the temperature signal on the order of seconds to minutes could be identified, localised, and classified using signal decomposition and machine learning techniques. However, small-scale turbulence patterns at the surface appeared difficult to resolve due to the heterogeneity of the thermal properties of the vegetation canopy, which are not immediately evident visually. The results highlight a need for physics-aware data science techniques that treat scale and shape of temperature structures in combination, rather than as separate features