ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation

Acoustic identification of vocalizing individuals opens up new and deeper insights into animal communications, such as individual-/group-specific dialects, turn-taking events, and dialogs. However, establishing an association between an individual animal and its emitted signal is usually non-trivial, especially for animals underwater. Consequently, a collection of marine species-, array-, and position-specific ground truth localization data is extremely challenging, which strongly limits possibilities to evaluate localization methods beforehand or at all. This study presents ORCA-SPY, a fully-automated sound source simulation, classification and localization framework for passive killer whale (Orcinus orca) acoustic monitoring that is embedded into PAMGuard, a widely used bioacoustic software toolkit. ORCA-SPY enables array- and position-specific multichannel audio stream generation to simulate real-world ground truth killer whale localization data and provides a hybrid sound source identification approach integrating ANIMAL-SPOT, a state-of-the-art deep learning-based orca detection network, followed by downstream Time-Difference-Of-Arrival localization. ORCA-SPY was evaluated on simulated multichannel underwater audio streams including various killer whale vocalization events within a large-scale experimental setup benefiting from previous real-world fieldwork experience. Across all 58,320 embedded vocalizing killer whale events, subject to various hydrophone array geometries, call types, distances, and noise conditions responsible for a signal-to-noise ratio varying from −14.2 dB to 3 dB, a detection rate of 94.0 % was achieved with an average localization error of 7.01∘. ORCA-SPY was field-tested on Lake Stechlin in Brandenburg Germany under laboratory conditions with a focus on localization. During the field test, 3889 localization events were observed with an average error of 29.19∘ and a median error of 17.54∘. ORCA-SPY was deployed successfully during the DeepAL fieldwork 2022 expedition (DLFW22) in Northern British Columbia, with a mean average error of 20.01∘ and a median error of 11.01∘ across 503 localization events. ORCA-SPY is an open-source and publicly available software framework, which can be adapted to various recording conditions as well as animal species

Power, Ownership and Tourism in Small Islands: evidence from Indonesia

This paper examines the political economy of tourism development in islands and uses Gili Trawangan, Indonesia as a case study. A longitudinal study drawing from fieldwork contributes to the discussion of how different types of power shape community development, and how the effects of hosting international tourism play an explicit role. Analysis using Barnett and Duvall’s Taxonomy of Power model reveals the interplay between the types of power over time and its effects on different actors. Results raise questions for Less Developed Countries, and particularly islands, concerning the social costs of using tourism for development

Private equity challenge: investment committee paper of planet fitness-valuation

Planet Fitness is a market leading fitness studio chain and franchisor with over 2,324 stores in the US. It provides high and recurring cash flows, making it a good LBO target. 2022 EBITDA reaches 336M, exceeding pre-covid levels. The company offers value creation potential in internationalization through M&A, Greenfield possibilities, and further organic growth levers. Entry Multiple of 9.2x results in an EV of 3.1B. With 5.2x Leverage an LBO yields 4.0x Money Multiple and 26% IRR

Strategisches Kostenmanagement

Available from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 Kiel / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Environmental strategies and their impact on hotel performance

This study examines the relevance of environmental management as a source of competitive advantage for hotels. The relationship between the environmental proactivity of hotels located in the province of Alicante (Spain) and their economic performance levels was studied, and three strategic groups, based on environmental proactivity, were identified: Proactive, Intermediate and Reactive. The findings show that the degree of proactivity achieved by these hotels does not strongly impact on their organisational performance. Nevertheless, performance levels increase as environmental proactivity grows