BIVENTRICULAR / LEFT VENTRICULAR PACING IN HYPERTROPHIC OBSTRUCTIVE CARDIOMYOPATHY: AN OVERVIEW


Optimal Conductor Size Selection in Distribution Networks with High Penetration of Distributed Generation Using Adaptive Genetic Algorithm

The widespread deployment of distributed generation (DG) has significantly impacted the planning and operation of current distribution networks.The environmental benefits and the reduced installation cost have been the primary drivers for the investment in large-scale wind farms and photovoltaics (PVs).However, the distribution network operators (D

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Between sustainability commitments and anticipated market requirements: Exploring the resilience of the techno-economic innovation paradigm in the midstream of construction research

This article studies ways of dealing with the tension between a commitment to sustainable and responsible research and anticipated market requirements in the midstream of a research process in architecture and construction.Using a slightly modified version of Socio-Technical Integration Research (STIR), we explored the chances of Electronics Access

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A Hierarchical Deep-Learning Approach for Rapid Windthrow Detection on PlanetScope and High-Resolution Aerial Image Data

Forest damage due to storms causes economic loss and requires a fast response to prevent further damage such as bark beetle infestations.By using Convolutional Neural Networks (CNNs) in conjunction with a GIS, we aim at completely streamlining the detection and mapping process for forest agencies.We developed and tested different CNNs for rapid win

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