HARVESTING STRATEGIES AS EVIDENCE FOR 4000 YEARS OF CAMAS (CAMASSIA QUAMASH) MANAGEMENT IN THE NORTH AMERICAN COLUMBIA PLATEAU

Harvesting strategies as evidence for 4000 years of camas (Camassia quamash) management in the North American Columbia Plateau

One of the greatest archaeological enigmas is in understanding the role of decision-making, intentionality and interventions in plant life cycles by foraging peoples in transitions to and from low-level food production practices.We bring together archaeological, palaeoclimatological and botanical data to explore relationships over the past 4000 yea

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Parallel, Proactive and Power Efficient Virtual Network Embedding in a Green and Distributed SD-ODCN Architecture

With a view to overcome internet ossification problem, various Virtual Network Embedding (VNE) approaches has been proposed in last few years.Nevertheless, most of prior approaches neglect some major operational requirements implied by the inherent virtualization platforms.In the case of SD-ODCN architecture, a crucial operational requirement insta

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Distributed Rendering Based on Fine-Grained and Coarse-Grained Strategy to Speed up Time and Increase Efficiency of Rendering Process

The purpose of this research was to solve several problems in the rendering process such as slow rendering time and complex calculations, which caused inefficient rendering.This research analyzed Sewing Pins the efficiency in the rendering process.This research was an experimental study by implementing a distributed rendering system with fine-grain

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A Multi-Modality Deep Network for Cold-Start Recommendation

Collaborative filtering (CF) approaches, which provide recommendations based on ratings or purchase history, perform well for users and items with sufficient interactions.However, CF approaches suffer from the cold-start problem for users and items with few ratings.Hybrid recommender systems that combine collaborative filtering and content-based ap

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