MULTI-PERSON SELECTION OF THE BEST WIND TURBINE BASED ON THE MULTI-CRITERIA INTEGRATED ADDITIVE-MULTIPLICATIVE UTILITY FUNCTION

Multi-person selection of the best wind turbine based on the multi-criteria integrated additive-multiplicative utility function

Energy generation and savings is a vital problem for the social and economic development of a modern world.The construction of wind farms is a challenge of crucial importance to Lithuania.Offshore wind farms are one of the possibilities of the multiple use of marine space.Wind energy industry has become the fastest growing renewable energy in the w

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Expression profiling of blood samples from an SU5416 Phase III metastatic colorectal cancer clinical trial: a novel strategy for biomarker identification

Abstract Background Microarray-based gene expression profiling is a powerful approach for the identification of molecular biomarkers of disease, particularly in human cancers.Utility of this approach to measure responses to therapy is less well established, in part due to challenges in obtaining serial biopsies.Identification of suitable surrogate

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Relationship between vertebral endplate degeneration (Modic changes, Schmorl nodes, endplate irregularities) and Bone Mineral Density

Objective: The end plate plays an important role in maintaining the structural integrity, balancing biomechanical and supplying nutrition, how dose it changes with the reduced bone mineral density (BMD) remains unknown.The objective of this study is to investigate the relationship between lumbar end plate degeneration and normal BMD, osteopenia and

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IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks

This paper focuses on the classification of seven locomotion modes (sitting, standing, level ground walking, ramp ascent and descent, stair ascent and descent), the transitions among these modes, and the gait phases within each mode, by only using data in the frequency domain from one or two inertial measurement units.Different deep neural network

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