bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time
Authors: Vega J. , Dormido-Canto S. , Castro R. , Fernández J.D. , Murari A. ,   JET Contributors
Published: February 2024

Abstract
This article describes the use of privileged information to train supervised classifiers, applied for the first time to the prediction of disruptions in tokamaks. The objective consists of making predictions with real-time signals during the discharges (as usual) but after training the predictor also with any kind of data at training time that is not available during discharge execution. The latter kind of data is known as privileged information. Taking into account the limited number of foreseen real time signals for disruption prediction at the beginning of operation in JT-60SA, a predictor with a line integrated density signal and the mode lock signal as privileged information has been developed and tested with 1437 JET discharges. The success rate with positive warning time has been improved from 45.24% to 90.48% and the tardy detection rate has diminished from 50% to 8.33%. The use of privileged information in an adaptive way also provides a remarkable reduction of false alarms from 11.53% to 1.15%. The potential of the methodology, exemplified with data relevant to the beginning of JT-60SA operation, is absolutely general and can be applied to any combination of diagnostic signals.
Advanced Noncontact Sensors for Blade Tip-Timing Systems
Authors: Procházka Pavel , Lamine Mekhalfia Mohammed , HodboĎ Robert 
Published: February 2024

Abstract
The conference paper addresses noncontact sensors for measuring vibrations of machine blades using the Blade Tip Timing method. An overview of sensors based on the electromagnetic principle suitable for the harsh environment of low-pressure stages of steam turbines is presented. Special attention is further given to magnetoresistive sensors and possibilities for increasing their sensitivity. Variants of the sensors with controlled, adaptive, and intelligent operating principles are discussed. The properties and advantages of each version of the solution are demonstrated.
Flyable Mirror: Airborne laser Doppler vibrometer for large engineering structures
Authors: Schewe Marvin , Ismail Mohamed A. A. , Zimmermann Robin , Durak Umut , Rembe Christian 
Published: February 2024

Abstract
Large engineering structures are subjected to extreme loads that may lead to early damage and hazards for the national economy and public safety. The laser Doppler vibrometer (LDV) has been widely used for conducting ambient vibration testing (AVT) of large structures, such as towers and historical buildings. Its superior sensitivity and the possibility to measure at hard-to-reach locations make it a versatile tool. However, two challenges limit LDV performance significantly for AVTs of large structures: (a) optically inaccessible surfaces in which the LDV beam cannot reach the spot or the beam has a flat incline; and (b) significant optical deficiencies in long-range measurements due to air turbulence and laser speckle effects. In this paper, we report the development progress of a new LDV-based measurement system, Flyable Mirror. This system consists of a commercial LDV with novel noise suppression means at the ground and an optical beam steering unit (a mirror) carried by an unmanned aerial vehicle. Several preliminary experiments were conducted to build and test the first airborne LDV. Flyable Mirror will enable new insights into monitoring structural-aging mechanisms for which ground-mounted LDVs cannot be used.
Features extraction from cardiac-related signals: comparison among different measurement methods
Authors: Cosoli G. , Revel G.M. , Scalise L. 
Published: February 2024

Abstract
Heart Rate (HR), Heart Rate Variability (HRV), and cardiac time intervals are clinically relevant parameters, which can be assessed from the analysis of electrocardiogram (ECG). Some aspects of cardiac activity can be investigated also by means of different noninvasive and non-intrusive measurement methods, such as phonocardiograph (PCG), photoplethysmograph (PPG), and vibrocardiograph (VCG). However, the standard processing algorithms (i.e., Pan & Tompkins) do not allow to fully characterize waveforms different from ECG. In the past, some of the authors have already demonstrated the efficiency of a novel processing procedure for the precise HR measurement from the above-mentioned signals. In the present work, data processing procedure has been improved and deeply extended to assess HRV parameters and time intervals from all the signals acquired on an extended experimental campaign, involving 26 subjects, on whom ECG, PPG, PCG, and VCG signals were simultaneously measured. Results prove that this approach can overcome the drawbacks of standard algorithms and can be widely applied to signals of different nature to derive HR, HRV, and time intervals. As regards HR measurement, PPG proved to be the most accurate measurement method (±1.2 bpm), followed by VCG (±1.6 bpm) and PCG (±2.5 bpm). For HRV analysis in the time domain, the use of the proposed methodology allows to obtain clinically relevant parameters statistically comparable to the ECG ones. Finally, the measurement of QT interval by applying personal calibration lines allows to obtain results comparable to the gold standard technique, i.e., ECG (maximum percentage deviation reduced from 10.9% up to <4.3% in VCG).
Study of partial discharge and breakdown phenomena at triple junctions under various conditions of pressure and temperature
Authors: Szilágyi R. , Molinié Ph. , Kirkpatrick M. J. , Odic E. , Galli G. , Dessante Ph. 
Published: February 2024

Abstract
The presence of a triple junction constitutes a potential source of failure in many industrial applications. The reinforcement of the local electric field due to differences in relative permittivity facilitates the formation of partial discharges (PD) which weaken the insulation system and eventually lead to complete breakdown. Additionally, severe environmental conditions (temperature, pressure) associated with certain applications (e. g. nuclear or aeronautical sector) should be considered because of their influence on discharge phenomena occurring at triple junctions. In this study, the behaviour of partial discharge inception voltage (PDIV) and of breakdown (flash-over) voltage (BIV) is compared in the case of a triple junction with an aluminium oxide disc as a solid insulator when the system is heated up to 400 °C. While the PDIV decreases strongly for temperatures above 300 °C, this effect disappears for the BIV. It is proposed that this behaviour is due to the fact that relative permittivity of the aluminium oxide disc increases with temperature at low frequencies, but remains relatively stable at high frequencies, regardless of the temperature.
Investigation of the separation of conductive and insulating objects on a laboratory made electrostatic separator
Authors: Székely László , Kiss István , Donghyeok Gwak 
Published: February 2024

Abstract
Electrostatic separators are widely used to separate conductive and insulating objects up to some millimetres in size. Modelling of such equipment has been presented in several studies; laboratory and numerical models have been analysed. However, there are such situations, where larger samples of the order of centimetres have to be separated, as milling them into smaller size particles is not allowed or feasible. It was found that electrostatic separation can be used even in such cases but in a different arrangement than in the “traditional” constructions.
This paper is a continuation of a previous study, in which the separation of a constructed laboratory separator was examined. The model was built in a circular plate arrangement with high voltage needle electrodes above the edge of cylinder’s mantle, where the discharges are generated. The slope of the circular plate is steadily decreasing, so the samples on the edge of the plate produce an increasing angle of inclination along the circumference. Charged samples stick to the plate, uncharged ones fall off. Some key parameters as rotation speed, electrode distance, voltage level and position of ionizer electrodes were varied.
Electrical environment can be altered at 1 km distances from high voltage power lines.
Authors: Matthews James C , Wright Matthew D , Buckley Alison J , Henshaw Denis L , Shallcross Dudley E 
Published: February 2024

Abstract
High voltage powerlines emit electrical charges into the atmosphere which can then attach to aerosols. This space charge above ground can be measured directly using ion spectrometers or indirectly through perturbations of the Earth’s potential gradient using field mills. Several publications are reviewed to find evidence of aerosol charging at a distance from power lines. Field measurements of charge state near to high voltage power lines selected due to their high emissions of ions measured a small positive enhancement of electrical charge on aerosols at distances greater than 300 m, corresponding to a transit time of up to 400 s A quasi one-dimensional model of ion-aerosol interactions from a high voltage powerlines found that the addition of new ions to an aerosol population will result in those ions transferring charge to the aerosol which would then remain the dominant carrier of charge several hundred meters downwind. 10-min PG measurements from a fixed site measuring in 2008 compared measurements when the site was downwind of a 275 kV powerline to times with no wind and found evidence of space charge overhead through greater fields and variability at distances over 800 m These studies combined show evidence that the electrical environment near to power lines can be altered beyond 1 km from AC high voltage power lines, with excess charges likely to be concentrated on aerosol.
Electrostatic detection and electric signalling in plants: do flowers act as antennas?
Authors: Woodburn F A , O’Reilly L J , Bentall L , Robert D 
Published: February 2024

Abstract
Flying insect pollinators are electrically charged. As bumblebees (Bombus terrestris) and honeybees (Apis mellifera) are almost always positively charged, they present a static electric field that is modulated by the harmonic motion of their wings. Previous research has demonstrated that as a bee approaches a flower, there is a change in the stem potential of the plant, even before the bee lands, suggesting a capacity for flowers to sense the approaching bee through its electric field. Using a combination of laboratory and field studies, we explore the potential for flowers to act as receiving antennas for electrical signals, and to transmit these signals to neighbouring plants. Results show that flowers can detect non-contact electric stimuli, presumably by charge induction, and appear not to be tuned to a specific frequency. In the field, non-contact electric stimuli can also be detected in neighbouring flowers that did not receive the aerial stimulus. This evidence demonstrates the ability of flowers to capture local, aerial electrical signals, and the plant to then transmit signals through the soil to neighbouring plants. This work highlights the significance of environmental electric fields in pollination biology.
Electrical effects on droplet behaviour
Authors: Airey M W , Harrison R G , Aplin K L , Pfrang C , McGinness B 
Published: February 2024

Abstract
The effect of charge on water droplets modulates various aspects of their behaviour. These include the droplet stability, evaporation, and lifetime. Microphysical models have been developed such that a reasonably good understanding of these processes has been achieved. However, the specific effects of charge deserve further scrutiny as they are an intrinsic component of the factors controlling droplet characteristics. Describing the effects of these requires an understanding of the electrostatic pressure present in the droplet and its surface tension. One way to test these effects and assess droplet response to charge is to take an experimental approach to make observations directly. In this study, individual droplets are levitated in an acoustic wave to allow isolated measurements to be taken. The droplets are monitored using a CCD camera with a microscope objective lens. In some cases, with sufficient charge present, effects on droplet stability can be observed as Rayleigh explosions, where a sudden drop in mass is seen superimposed on the evaporation profile. These events also allow the charge on the droplet to be calculated, which is then compared with the droplet evaporation. Another factor that plays a part in droplet behaviour is droplet composition. Different substances have different surface tension, and this is explored by performing some experiments on sulphuric acid droplets. Theory predicts that the more highly charged a droplet is, the more resistant to evaporation it becomes. Experimental data collected during this study agrees with this, with more highly charged droplets observed to have slower evaporation rates. However, highly charged drops were also observed to periodically become unstable during evaporation and undergo Rayleigh explosions. Each instability of a highly charged drop removes mass, reducing the overall droplet lifetime regardless of the slower evaporation rate. The sulphuric acid droplets were observed to be much more resistant to evaporation and no Rayleigh instabilities were observed.
Experimental study and numerical simulation of particles trajectories in a flexible-electrode-type electrostatic separator
Authors: Maammar Mohamed , Touhami Seddik , Rezoug Mohammed , Daioui Khaled , Dascalescu Lucian , Medles Karim 
Published: February 2024

Abstract
The novel device used in this study is a free fall electrostatic separator equipped with flexible electrodes. This special feature enabled the experimentation of different electric field configurations, avoiding as much as possible the impacts of particles on electrode walls, which is the major drawback of standard free-fall electrostatic separators. The present work was focused on the numerical modelling and simulating the trajectories of charged insulating particles. The study was aimed at contributing to a more in-depth understanding of the various physical phenomena that occur during electrostatic separation. An accurate numerical model of particle movement was developed. The results of the numerical simulations were validated using the experimental data obtained with an appropriate image acquisition tool.
Modelling an Ion Thruster for a Small Spacecraft in Very Low Earth Orbit
Authors: Gomez I , Aplin KL , Lawrie A , Toomer CA 
Published: February 2024

Abstract
A gridded ion thruster running on two different propellants (Xenon and Iodine) and sited within a 3U CubeSat satellite, is modelled in a Low-Earth-Orbit (altitude 400 km), using a Particle-in-Cell approach. Charged exchange collisions cause a plume backflow, which results in erosion or contamination of external spacecraft surfaces. In particular, this research is motivated by evaluating the risks to solar panel arrays from plume backflow. At low altitudes there is a wide range of ambient species able to interact electrostatically with the ion plume. In particular one must consider the plasma potential of the incoming particle flux at the solid boundaries as well as a sheath comparison and the temperature of the solar panel surfaces. This enables evaluation of the effect of temperature on the charged exchange region. A Particle-in-Cell is used, with a hybrid approach where electrons are treated as a fluid and the propellant as kinetic particles. Our results compare surface ablation for two propellants, focusing on solar panel arrays which are considered to be especially vulnerable to the backflow of ions from the plume expansion. It is found that the flux of incoming particles increases for lower satellite surface temperatures. Furthermore, Xenon results in having a lower overall effect on the sensitivity of the particle flux in comparison to Iodine.
Analysis of the impact of COVID-19 on Scotland’s care-homes from March 2020 to October 2021: national linked data cohort analysis
Authors: Burton Jennifer Kirsty , McMinn Megan , Vaughan James E , Nightingale Glenna , Fleuriot Jacques , Guthrie Bruce 
Published: February 2024

Abstract

Background
The impact of the COVID-19 pandemic on long-term care residents remains of wide interest, but most analyses focus on the initial wave of infections.

Objective
To examine change over time in: (i) The size, duration, classification and pattern of care-home outbreaks of COVID-19 and associated mortality and (ii) characteristics associated with an outbreak.

Design
Retrospective observational cohort study using routinely-collected data.

Setting
All adult care-homes in Scotland (1,092 homes, 41,299 places).

Methods
Analysis was undertaken at care-home level, over three periods. Period (P)1 01/03/2020-31/08/2020; P2 01/09/2020-31/05/2021 and P3 01/06/2021–31/10/2021. Outcomes were the presence and characteristics of outbreaks and mortality within the care-home. Cluster analysis was used to compare the pattern of outbreaks. Logistic regression examined care-home characteristics associated with outbreaks.

Results
In total 296 (27.1%) care-homes had one outbreak, 220 (20.1%) had two, 91 (8.3%) had three, and 68 (6.2%) had four or more. There were 1,313 outbreaks involving residents: 431 outbreaks in P1, 559 in P2 and 323 in P3. The COVID-19 mortality rate per 1,000 beds fell from 45.8 in P1, to 29.3 in P2, and 3.5 in P3. Larger care-homes were much more likely to have an outbreak, but associations between size and outbreaks were weaker in later periods.

Conclusions
COVID-19 mitigation measures appear to have been beneficial, although the impact on residents remained severe until early 2021. Care-home residents, staff, relatives and providers are critical groups for consideration and involvement in future pandemic planning.
Characterization of T-/natural killer cell lymphoproliferative neoplasms associated with systemic, chronic, active Epstein-Barr virus in adults: A report of 5 cases in a Western population
Authors: Murga-Zamalloa Carlos , Stone Michael Brandon , Gutierrez Marc G , Hippalgaonkar Neha Rajendra , Tariq Hamza , Sadeh Morteza , Mehta Ankit , Khan Irum , Alkan Serhan , Inamdar Kedar V , Wilcox Ryan , Behdad Amir 
Published: February 2024

Abstract

Objectives
Because of its low frequency in adult populations and clinical and laboratory overlap with hemophagocytic lymphohistiocytosis and other T-cell lymphomas, T-cell/natural killer (NK) cell systemic, chronic, active Epstein-Barr virus (EBV) (T/NK sCAEBV) infection remains underdiagnosed, preventing critical, prompt therapeutic interventions.

Methods
We report a 5-case series that included 2 adult patients with T/NK sCAEBV and 3 additional adult patients with T/NK lymphomas with concomitant systemic EBV infection to review these entities’ overlapping diagnostic and clinical features.

Results
Approximately 95% of the world population has been infected with EBV during their lifetime, and infection is usually asymptomatic, with symptomatic cases eventually resolving spontaneously. A small subset of immunocompetent patients develops CAEBV, a life-threatening complication resulting from EBV-infected T-cell or NK cell neoplastic lymphocytes. The sites of end-organ damage in T/NK sCAEBV demonstrate pathologic findings such as reactive lymphoid proliferations, making the diagnosis difficult to establish, with the only curative option being an allogeneic hematopoietic stem cell transplant.

Conclusions
This diagnosis is most prevalent in Asia, with few cases reported in Western countries. Adult age is an independent risk factor for poor outcomes, and most cases are diagnosed in pediatric populations.
Characterizing the role of informal payments in the delivery of pathology and clinical laboratory services
Authors: Glynn Emily H , Amukele Timothy , Soge Olusegun , Baird Geoffrey , Vian Taryn 
Published: February 2024

Abstract

Objectives
Informal payments (IPs) are unofficial cash or in-kind payments for goods or services that should be covered by the health care system. They are a common but regressive method of financing health care in low- and lower-middle-income countries (LMICs). This study aims to characterize the prevalence and impact of IPs on pathology and laboratory medicine (PALM) services.

Methods
From September 2021 to September 2022, PALM staff were surveyed about the frequency, determinants, and impacts of IPs in their respective workplaces.

Results
In total, 268 responses were received, and 46.6% (125/268) reported experience with IPs. These 125 participants were more likely to work in the public sector and in LMICs. Approximately 65% reported accepting IPs to perform tests or release results. Obtaining faster results was the most commonly perceived reason for patients offering IPs. Overall, participants reported that IPs had more negative than positive impacts on their workplace.

Conclusions
This represents a first step in characterizing IPs within PALM and how this practice may affect access to these services in LMICs. Specifically, the fact that faster turnaround time was the most frequently perceived reason for offering IPs uncovers a potential barrier to improving PALM capacity in these regions.
VirGrapher: a graph-based viral identifier for long sequences from metagenomes
Authors: Miao Yan , Sun Zhenyuan , Ma Chenjing , Lin Chen , Wang Guohua , Yang Chunxue 
Published: February 2024

Abstract
Viruses are the most abundant biological entities on earth and are important components of microbial communities. A metagenome contains all microorganisms from an environmental sample. Correctly identifying viruses from these mixed sequences is critical in viral analyses. It is common to identify long viral sequences, which has already been passed thought pipelines of assembly and binning. Existing deep learning-based methods divide these long sequences into short subsequences and identify them separately. This makes the relationships between them be omitted, leading to poor performance on identifying long viral sequences. In this paper, VirGrapher is proposed to improve the identification performance of long viral sequences by constructing relationships among short subsequences from long ones. VirGrapher see a long sequence as a graph and uses a Graph Convolutional Network (GCN) model to learn multilayer connections between nodes from sequences after a GCN-based node embedding model. VirGrapher achieves a better AUC value and accuracy on validation set, which is better than three benchmark methods.