Powering Reverse Osmosis (RO) systems with Renewable Energy (RE) is essential for decarbonising water production. Integration of RE requires large-scale RO plants to operate efficiently using variable power. Nevertheless, operation (involving matching the load available power without battery back-up) has only been implemented small-scale systems. This paper presents a variable-speed technique suitable an optimised operational strategy and Model Predictive Controller (MPC). The was validated...

Background Lifelong surveillance after endovascular repair (EVAR) of abdominal aortic aneurysms (AAA) is considered mandatory to detect potentially life-threatening endograft complications. A minority patients require reintervention but cannot be predictively identified by existing methods. This study aimed improve the prediction complications and mortality, through application machine-learning techniques. Methods Patients undergoing EVAR at 2 centres were studied from 2004-2010....

A study was completed to determine if operating has an effect on a surgeon's muscular fatigue.Six head and neck surgery consultants, two ENT registrars, 20 normal controls from tertiary referral centres in the West Midlands participated study. Electromyography (EMG) measurements were taken throughout day of fatigue indices compared performing desk work.The percentage changes mean frequency contractions examined; there no significant difference levels between consultants registrars. Operating...

Feature selection is essential in medical area; however, its process becomes complicated with the presence of censoring which unique character survival analysis. Most feature methods are based on Cox's proportional hazard model, though machine learning classifiers preferred. They less employed analysis due to prevents them from directly being used data. Among few work that classifiers, partial logistic artificial neural network auto-relevance determination a well-known method deals and...

Feature selection (FS) process is essential in the medical area as it reduces effort and time needed for physicians to measure unnecessary features. Choosing useful variables a difficult task with presence of censoring which unique characteristic survival analysis. Most FS methods depend on Cox's proportional hazard model; however, machine learning techniques (MLT) are preferred but not commonly used due censoring. Techniques that have been proposed adopt MLT perform data cannot be high...

The quantitative analysis accuracy of calibration-free laser-induced breakdown spectroscopy (CF-LIBS) is severely affected by the self-absorption effect and estimation plasma temperature. Herein, a CF-LIBS method based on auto-selection internal reference line optimized temperature proposed. each species automatically selected from analytical lines programmable procedure through easily accessible parameters. Furthermore, considered during correction procedure. To improve CF-LIBS, particle...

Operating reverse osmosis (RO) systems with renewable energy (RE) can contribute greatly to water security. However, the stochastic and intermittent nature of renewables means that most large-scale RO relies on fossil fuels via a grid connection. Modular operation by connecting disconnecting units is promising power multi-unit entirely from RE. Nevertheless, it may lead excessive start-ups/shutdowns, especially when using wind energy. This paper proposes neural networks for speed prediction...

This article proposes a Bayesian neural network approach to determine the risk of re-intervention after endovascular aortic aneurysm repair surgery. The target proposed technique is which patients have high chance (high-risk patients) and are not (low-risk 5 years Two censored datasets relating clinical conditions aneurysms been collected from two different vascular centers in United Kingdom. A was first employed solve censoring issue datasets. Then, back propagation model built using...

Abstract Background. Operative tremor can greatly influence the outcome of certain, precise, microsurgical operations. Reducing a surgeons may not only improve operative results but decrease time. Previous studies have measured uni or bi directional and therefore been unable to calculate both overall amplitude reduction by resting wrists. Materials methods. We 21 neurologically normal volunteers while performing micromanipulation task, with without wrist support. Measurements were acquired...

Data fluctuation in multiple measurements of Laser Induced Breakdown Spectroscopy (LIBS) greatly affects the accuracy quantitative analysis. Our proposed method achieved better prediction and modeling robustness.

This paper investigates the vibration characteristics of coupling system a microscale fluid-loaded rectangular isotropic plate attached to uniformly distributed mass. Previous literature has, respectively, studied changes in induced by an acoustic field or mass loading. issue involving these two types loading simultaneously. Based on Lamb's assumption structure and Rayleigh–Ritz energy method, this presents analytical solution for natural frequencies mode shapes system. Numerical results...

Gulf and South African countries have enormous potential for wind energy. However, the emergence of sand storms in this region postulates performance reliability challenges on turbines. This study investigates effects debris flow turbine blade performance. In paper, two-dimensional incompressible Navier-Stokes equations transition SST turbulence model are used to analyze aerodynamic NACA 63415 airfoil under clean sandy conditions. The numerical simulation surface condition is performed at...

We compute the transient dynamics of an impulsively loaded multibay truss. In computing responses we avoid numerical instabilities due to exponential dichotomy bay transfer matrices by employing direct global matrix approach. This method eliminates need multiplications that are prone and, instead, requires a numerically stable inversion large dimension. The at multiple points truss used perform system Identification using Karhunen-Loeve (K-L) decomposition. analysis computes dominant...

Karhunen-Loeve (K-L) or proper orthogonal decomposition modes are used to discretize the dynamics of a four-bay linear truss. This is achieved by defining global K-L modal amplitudes and employing orthogonality relations between that inherent in decomposition. It found K-L-based low-order models can capture satisfactory transient truss, even when only limited number them for order reduction. A comparison exact frequency domain reveals leading resonances series experiments with practical...

This Brief Report presents giant extraordinary Hall effect (EHE) in the Ru-mediated antiferromagnetically coupled ${[\text{Pt}/\text{Co}]}_{5}/\text{Ru}/{[\text{Co}/\text{Pt}]}_{5}$ multilayers (MLs) compared with those MLs without Ru spacer. The enhancement of EHE is attributed to strong Ru/Co interface scattering. Through variation Pt layer thickness and temperature, we determine relation between voltage longitudinal resistivity. It found that conventional scaling analysis has difficulties...

The work investigates the adhesive/cohesive molecular and physical interactions together with nanoscopic features of commonly used orally disintegrating tablet (ODT) excipients microcrystalline cellulose (MCC) D-mannitol. This helps to elucidate underlying physico-chemical mechanical mechanisms responsible for powder densification optimum product functionality. Atomic force microscopy (AFM) contact mode analysis was performed measure nano-adhesion forces surface energies between...