THE STANDARDIZATION OF BIODIVERSITY: HOW POLITICIZATION CHANGES STANDARDIZATION FOR CORPORATE SUSTAINABILITY REPORTING

The standardization of biodiversity: how politicization changes standardization for corporate sustainability reporting

This article asks how politicization changes the standardization Carpet Shampooers of biodiversity in the realm of corporate sustainable reporting (CSR) frameworks.The study encompasses three areas: First, the participatory processes in standardization; second, the substantive prioritization of conservation considerations over economic aspects with

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Addressing quality medication use among migrant patients: Establishment of an organization to provide culturally competent medication care

As the global landscape continues to witness an increase in migration, the healthcare community faces an evolving challenge: the provision of quality medication care to migrant patients.Language barriers, cultural differences, and a lack of understanding of the local healthcare system can often impede the effective management of medications and acc

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Reducing Efficiency Degradation Due to Scheduled Agent Suspensions by Task Handover in Multi-Agent Cooperative Patrol Problems

This paper proposes a method to mitigate the significant performance degradation due to planned suspensions in the multi-agent cooperative patrol problem.In recent years, there has been an increased demand to utilize multiple intelligent agents that control robots.Furthermore, cooperation between multiple agents is required for performing tasks tha

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Unsupervised anomaly detection for earthquake detection on Korea high-speed trains using autoencoder-based deep learning models

Abstract We propose a method for detecting earthquakes for high-speed trains based on unsupervised anomaly-detection techniques.In particular, we utilized autoencoder-based deep learning models for unsupervised learning using only normal training vibration data.Datasets were generated from South Korean high-speed train data, and seismic data were m

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