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Thin, amorphous boron-carbon films are deposited at low temperature (400600?degrees C) by thermally activated CVD using the organoborane triethylboron (TEB) as a single precursor. Two different carrier gases are tested. At 600?degrees C, using argon as the carrier gas, the deposition rate is close to 1?mu m h-1. The film has a density of 2.14?g?cm-3 with a B/C ratio of 3.7. When hydrogen is used a

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This paper presents a low latency, high throughput soft-output signal detector for a 4x4 64-QAM spatial-multiplexing MIMO system. To achieve high data-level parallelism and accurate soft information, the detector adopts a channel-adaptive node perturbation technique to generate a list of candidate vectors around an initial linear estimation. The detection algorithm provides a large range and conve

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A non-intrusive reduced basis (RB) method is proposed for parametrized nonlinear structural analysis undergoing large deformations and with elasto-plastic constitutive relations. In this method, a reduced basis is constructed from a set of full-order snapshots by the proper orthogonal decomposition (POD), and the Gaussian process regression (GPR) is used to approximate the projection coefficients.

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BackgroundRadiotherapy (RT) is an effective treatment option for prostate cancer (PCa). The evolution of new treatment planning techniques, advanced imaging and accelerator design has enabled precise treatment delivery. Volumetric modulated arc therapy (VMAT) optimisation techniques achieve sharp dose gradients between the target and organs at risk (OAR) and have become the standard of care for PC

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These two volumes of Kosmos (1998) are pedagogical models for the extended vocal techniques performer. Volume 1 has six pieces of various lengths for one to four parts featuring the composer's model of articulation. Volume 2 has fourteen pieces of various lengths for one to four parts dealing with reinforced harmonics. Both volumes can be performed by single players or by a choir.

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We present positivity bounds, derived from the principles of analyticity, unitarity and crossing symmetry, that constrain the low-energy constants of chiral perturbation theory. Bounds are produced for 2, 3 or more flavours with equal meson masses, up to and including next-to-next-to-leading order (NNLO), using the second and higher derivatives of the amplitude. We enhance the bounds by using the

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Mixed-effects models are used to describe the inter-patient variability in drugs. Modeling of these variabilities include both fixed and random effects. Fixed effects relate covariates such as age and weight to compartment volumes and clearances, whereas random effects account for unexplained variability. Traditionally, the development of fixed effects models is an inefficient process where covari

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Energy has played a significant role in developing civilization, but the continuous use of fossil fuels has hampered the environment. Hydropower is the alternative to fossil fuels. But most of the hydropower plants in hilly areas suffer from silt erosion problems. Erosion of underwater parts creates vibration and noise and reduces machine efficiency. Therefore, online monitoring of turbines and ot

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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear inter

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Hydropower is one of the most promising sources of renewable energy. However, a substantial initial investment requires for the construction of large civil structures. Feasibility study, detailed project report preparation, construction planning, and timely execution of work are the important activities of a hydropower plant. Energy generation in hydropower plants are mainly depends on discharge a

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This paper is focused on analysing the effect of wavelet filters on Space frequency quantization (SFQ) coder performance. SFQ is a new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies

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The challenge of urbanisation, caused by an increase in city population, is increasing demand for imported food products. Food supplies may be impacted by the exponential increase in food demand caused by a constantly expanding global population. Growing and producing food in urban areas has now become a common practice. Addressing food system challenges through the adoption of urban farms on gree

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The remodelling process in bones is closely related to electromechanical phenomena. In addition to streaming potentials and piezoelectricity, flexoelectricity has been found to serve as an initiator for remodelling in cortical bone. Since flexoelectricity is coupled to strain gradients, the effect is size-dependent and, accordingly, most relevant on small scales. This means that particularly micro

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The Events Research Programme (ERP) was a multi-disciplinary study undertaken during the COVID-19 pandemic to investigate SARS-CoV-2 transmission risks and mitigations around the reopening of mass events in the UK in 2021 – including a behavioural study, exploring how non-pharmaceutical interventions (NPIs), such as social distancing, pre-event virus testing, and the use of face coverings might en