bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatic annotation correction for wearable EEG based epileptic seizure detection
Authors: Zhang Jingwei , Chatzichristos Christos , Vandecasteele Kaat , Swinnen Lauren , Broux Victoria , Cleeren Evy , Van Paesschen Wim , De Vos Maarten 
Published: February 2022

Abstract

Objective. Video-electroencephalography (vEEG), which defines the ground truth for the detection of epileptic seizures, is inadequate for long-term home monitoring. Thanks to advantages in comfort and unobtrusiveness, wearable EEG devices have been suggested as a solution for home monitoring. However, one of the challenges in data-driven automated seizure detection with wearable EEG data is to have reliable seizure annotations. Seizure annotations on the gold-standard 25-channel vEEG recordings may not be optimal to delineate seizure activity on the concomitantly recorded wearable EEG, due to artifacts or absence of ictal activity on the limited set of electrodes of the wearable EEG. This paper aims to develop an automatic approach to correct for imperfect annotations of seizure activity on wearable EEG, which can be used to train seizure detection algorithms. Approach. This paper first investigates the effectiveness of correcting the seizure annotations for the training set with a visual annotation correction. Then a novel approach has been proposed to automatically remove non-seizure data from wearable EEG in epochs annotated as seizures in gold-standard video-EEG recordings. The performance of the automatic annotation correction approach was evaluated by comparing the seizure detection models trained with (a) original vEEG seizure annotations, (b) visually corrected seizure annotations, and (c) automatically corrected seizure annotations. Main results. The automated seizure detection approach trained with automatically corrected seizure annotations was more sensitive and had fewer false-positive detections compared to the approach trained with visually corrected seizure annotations, and the approach trained with the original seizure annotations from gold-standard vEEG. Significance. The wearable EEG seizure detection approach performs better when trained with automatic seizure annotation correction.
Overview of IV International Conference on Advanced Technologies in Aerospace, Mechanical and Automation Engineering – MIST Aerospace-IV-2021
Authors: Kovalev I V , Testoyedov N A , Voroshilova A A 
Published: February 2022

Abstract
The overview describes the main directions and results of the IV International Conference on Advanced Technologies in Aerospace, Mechanical and Automation Engineering (MIST Aerospace-IV-2021) held in Krasnoyarsk on 10-11 December 2021. It gives the details about the participants and the proceedings. The purpose of the Conference is to share the experience of leading experts in the application of advanced science-intensive and information technologies in the aerospace industry, mechanical engineering and automation of technological processes and production.
Methodology for assessing the aerodynamic imbalance of GTE impellers
Authors: Kudashov E V , Bolotov M A , Grachev I A , Pronichev N D 
Published: February 2022

Abstract
Increased vibration during testing and operation of gas turbine engines may be caused by aerodynamic imbalance. As usual, aerodynamic imbalance is eliminated on stands simulating the operating conditions of the impellers. Existing stands have a high cost of testing or do not allow to make allowances for all the factors during the operation of the impellers. A review of models and techniques has shown the importance of considering operating parameters when calculating aerodynamic imbalance. The paper provides a methodology for calculating the aerodynamic imbalance of the impeller. The methodology is based on the use of finite element modeling (FEM). The proposed method for assessing the aerodynamic imbalance of the impellers makes it possible to take into account the rotational speed, the actual geometry of the blades based on the measurement results, as well as the assembly conditions and the operating conditions of the impeller. The technique was used through the example of a specially designed and manufactured impeller with geometric deflections. Theoretical and experimental studies have been carried out. The discrepancy between theoretical and experimental data did not exceed 15.5%. The developed model can be used at enterprises that manufacture gas turbine engines, gas compressor units, steam turbine plants and wind power plants.
Enhanced performance of electrodeposited Ni-SiC plating as an alternative to electroplated chromium deposits: the effect of pulse duty cycle
Authors: Wang Q W , Huang J L , Liu J N , Yang Y F , Han G F , Li W 
Published: February 2022

Abstract
Ni-SiC composite coating was prepared by the electrodeposition under the pulse current as an alternative for the environment polluted and human cancerogenic hard chromium plating. The microstructure and tribological performance of the composite coating under different duty cycles were studied. The results showed that the mechanical performance of the Ni-SiC can be optimized by adjusting the pulse duty cycle. With the increase of the duty cycle, the grain size of the Ni matrix are refined and the friction coefficient of the coating are decreasing. Composite coating obtained with 80% duty cycle possesses the lowest wear volume during the friction and wear test. The effect of the duty cycle on the microstructure and tribological performance of the composite coating were discussed. Moreover, the co-deposition mechanism of Ni atoms and the SiC particles under the pulse current were discussed.
Controlling transition metal atomic ordering in two-dimensional Mo1−x
W
x
S2 alloys
Authors: Schulpen Jeff J P M , Verheijen Marcel A , Kessels Wilhelmus M M (Erwin) , Vandalon Vincent , Bol Ageeth A 
Published: February 2022

Abstract
The unique optical and electronic properties of two-dimensional transition metal dichalcogenides (2D TMDs) make them promising materials for applications in (opto-)electronics, catalysis and more. Specifically, alloys of 2D TMDs have broad potential applications owing to their composition-controlled properties. Several important challenges remain regarding controllable and scalable fabrication of these alloys, such as achieving control over their atomic ordering (i.e. clustering or random mixing of the transition metal atoms within the 2D layers). In this work, atomic layer deposition is used to synthesize the TMD alloy Mo1−x
W
x
S2 with excellent composition control along the complete composition range 0 ⩽ x ⩽ 1. Importantly, this composition control allows us to control the atomic ordering of the alloy from well-mixed to clustered while keeping the alloy composition fixed, as is confirmed directly through atomic-resolution high-angle annular dark-field scanning transmission electron micrography imaging. The control over atomic ordering leads to tuning of the bandgap, as is demonstrated using optical transmission spectroscopy. The relation between this tuning of the electronic structure and the atomic ordering of the alloy was further confirmed through ab-initio calculations. Furthermore, as the atomic ordering modulates from clustered to well-mixed, the typical MoS2 and WS2 A1g vibrational modes converge. Our results demonstrate that atomic ordering is an important parameter that can be tuned experimentally to finely tune the fundamental properties of 2D TMD alloys for specific applications.
Benchmarking ANO-R basis set for multiconfigurational calculations
Authors: Larsson E D , Zobel J P , Veryazov V 
Published: February 2022

Abstract
The selection of basis sets is very important for multiconfigurational wave function calculation, due to a balance between a desired accuracy and computational costs. Recently, the atomic natural orbital-relativistic (ANO-R) basis set was published as a suggested replacement for the ANO-RCC basis set for scalar-relativistic correlated calculations Zobel et al (2021 J. Chem. Theory Comput.
16 278–294). Benchmarking ANO-R basis set against ANO-RCC for atoms (from H to Rn) and their compounds is the goal of this study. Many of these compounds (for instance, diatomic molecules containing transition metals) have open shells, for which reason a multiconfigurational approach is necessary and was primarily used throughout this project. Performance of the ANO-R basis set in multiconfigurational calculations is similar to the ANO-RCC basis set for the ionisation potential of atoms, and the bond distance in diatomic molecules. Deficiencies are noted for atomic electron affinities and dissociation energies of fluoride diatomic molecules. ANO-R basis sets are more compact in comparison to the corresponding ANO-RCC basis sets leading to smaller computational costs, which was demonstrated by chloroiron corrole molecule as an example.
Taguchi optimization of process parameters used for improving tribological behaviour of graphene nanoparticle dispersed nanolubricant
Authors: Raghavulu K Veera , Govindha Rasu N 
Published: February 2022

Abstract
Graphene nanoparticle has gained much attention in recent years as a potential additive to base oil, used for lubrication. In this scenario, the current study is aimed at analyzing the influence of process parameters such as concentration of graphene nanoparticles in Polyolester (POE) oil, sliding velocity and applied load upon the tribological behavior of POE oils with graphene nanoparticle-based additive. A robust Taguchi method was applied to optimize the selected process parameters and identify the best combination of the chosen factors. XRD and SEM analyses were conducted to characterize the graphene nanoparticles. Taguchi method was applied and pin-on-disc type test was conducted to assess the friction and wear properties. Analysis of variance (ANOVA) was conducted to analyze the significance of control factors considered (R2 = 98%). The average coefficient of friction value was found to be around 0.051, whereas average S/N ratio value was calculated as 26.15. The current study found the optimum control factors to be 0.05% graphene nanoparticles, with 50 N applied load at a sliding velocity of 3.6 m s−1.
Exploring the Anti-professional Turn in English Foster Care: Implications for Policy, Practice and Research
Authors: Kirton Derek 
Published: February 2022

Abstract
Following decades in which professionalisation was widely assumed to be a permanent (and growing) feature of foster care in England, the government signalled a clear anti-professional turn in its 2018 publication Fostering Better Outcomes (FBOs). This rejected the notion that foster carers should be regarded as professionals and indicated that there should be a return to the term foster parent. This article analyses FBO, its feeder reports and evidence submitted by stakeholders to map the shifting debate surrounding professionalisation. This includes both direct commentary on its (de)merits, but also discussion of components such as pay, conditions, motivation, training, expertise, a national college or register and related questions of supporting and valuing foster carers. A number of important flaws are identified within the review process. These include an ahistorical and insular treatment of professionalisation, its conflation with employment, a homogenisation of foster care and deployment of a familial discourse that fails to engage with its complexities and ‘hybrid’ nature between work and family. The consequence is a confused policy stance where professionalisation is rhetorically rejected while many of its core elements are endorsed. Implications of the anti-professional turn for policy, practice and research in England but also internationally, are discussed.
Visuomotor processing is altered after peripheral nerve damage in neuralgic amyotrophy
Authors: Lustenhouwer Renee , Cameron Ian G. M. , Wolfs Elze , van Alfen Nens , Toni Ivan , Geurts Alexander C. H. , van Engelen Baziel G. M. , Groothuis Jan T. , Helmich Rick C. 
Published: February 2022

Abstract
Neuralgic amyotrophy is a common peripheral nerve disorder caused by autoimmune inflammation of the brachial plexus, clinically characterized by acute pain and weakness of the shoulder muscles, followed by motor impairment. Despite recovery of the peripheral nerves, patients often have residual motor dysfunction of the upper extremity, leading to persistent pain related to altered biomechanics of the shoulder region. Building on clinical signs that suggest a role for cerebral mechanisms in these residual complaints, here we show and characterize cerebral alterations following neuralgic amyotrophy. Neuralgic amyotrophy patients often develop alternative motor strategies, which suggests that (mal)adaptations may occur in somatomotor and/or visuomotor brain areas. Here, we tested where changes in cerebral sensorimotor representations occur in neuralgic amyotrophy, while controlling for altered motor execution due to peripheral neuropathy. We additionally explore the relation between potential cerebral alterations in neuralgic amyotrophy and clinical symptoms. During functional MRI scanning, 39 neuralgic amyotrophy patients with persistent, lateralized symptoms in the right upper extremity and 23 matched healthy participants solved a hand laterality judgement task that can activate sensorimotor representations of the upper extremity, across somatomotor and visuomotor brain areas. Behavioural and cerebral responses confirmed the involvement of embodied, sensorimotor processes across groups. Compared with healthy participants, neuralgic amyotrophy patients were slower in hand laterality judgement and had decreased cerebral activity specific to their affected limb in two higher-order visual brain regions: the right extrastriate cortex and the parieto-occipital sulcus. Exploratory analyses revealed that across patients, extrastriate activity specific to the affected limb decreased as persistent pain increased, and affected limb-related parieto-occipital activity decreased as imagery performance of the affected limb became slower. These findings suggest that maladaptive cerebral plasticity in visuomotor areas involved in sensorimotor integration plays a role in residual motor dysfunction and subsequent persistent pain in neuralgic amyotrophy. Rehabilitation interventions that apply visuomotor strategies to improve sensorimotor integration may help to treat neuralgic amyotrophy patients.
Ageing is associated with maladaptive immune response and worse outcome after traumatic brain injury
Authors: Moro Federico , Pischiutta Francesca , Portet Anaïs , Needham Edward J. , Norton Emma J. , Ferdinand John R. , Vegliante Gloria , Sammali Eliana , Pascente Rosaria , Caruso Enrico , Micotti Edoardo , Tolomeo Daniele , di Marco Barros Rafael , Fraunberger Erik , Wang Kevin K. W. , Esser Michael J. , Menon David K. , Clatworthy Menna R. , Zanier Elisa R. 
Published: February 2022

Abstract
Traumatic brain injury is increasingly common in older individuals. Older age is one of the strongest predictors for poor prognosis after brain trauma, a phenomenon driven by the presence of extra-cranial comorbidities as well as pre-existent pathologies associated with cognitive impairment and brain volume loss (such as cerebrovascular disease or age-related neurodegeneration). Furthermore, ageing is associated with a dysregulated immune response, which includes attenuated responses to infection and vaccination, and a failure to resolve inflammation leading to chronic inflammatory states. In traumatic brain injury, where the immune response is imperative for the clearance of cellular debris and survey of the injured milieu, an appropriate self-limiting response is vital to promote recovery. Currently, our understanding of age-related factors that contribute to the outcome is limited; but a more complete understanding is essential for the development of tailored therapeutic strategies to mitigate the consequences of traumatic brain injury. Here we show greater functional deficits, white matter abnormalities and worse long-term outcomes in aged compared with young C57BL/6J mice after either moderate or severe traumatic brain injury. These effects are associated with altered systemic, meningeal and brain tissue immune response. Importantly, the impaired acute systemic immune response in the mice was similar to the findings observed in our clinical cohort. Traumatic brain-injured patient cohort over 70 years of age showed lower monocyte and lymphocyte counts compared with those under 45 years. In mice, traumatic brain injury was associated with alterations in peripheral immune subsets, which differed in aged compared with adult mice. There was a significant increase in transcription of immune and inflammatory genes in the meninges post-traumatic brain injury, including monocyte/leucocyte-recruiting chemokines. Immune cells were recruited to the region of the dural injury, with a significantly higher number of CD11b+ myeloid cells in aged compared with the adult mice. In brain tissue, when compared with the young adult mice, we observed a more pronounced and widespread reactive astrogliosis 1 month after trauma in aged mice, sustained by an early and persistent induction of proinflammatory astrocytic state. These findings provide important insights regarding age-related exacerbation of neurological damage after brain trauma.
The potential of complaining as reflective practice in mentoring
Authors: Lewis Kristina B , Wagner Santoi 
Published: February 2022

Abstract
While complaining is ubiquitous in everyday interactions, it can seem out of place when a teacher complains within a setting devoted to reflective practice and professional development. In this article, we show examples of a novice teacher’s complaints to her mentor within post-observation meetings, making the case that these complaints raise issues relevant to reflective practice, including teaching beliefs and dealing with critical feedback. We show how the mentor sidesteps the issues raised by the complaints but suggest that mentors could treat complaints as a novice form of reflective practice. Ultimately, we offer practical suggestions for anyone engaged in providing post-observation feedback.
Incidence and predictors of sudden cardiac death in arrhythmogenic right ventricular cardiomyopathy: a pooled analysis
Authors: Agbaedeng Thomas A , Roberts Kirsty A , Colley Liam , Noubiap Jean Jacques , Oxborough David 
Published: February 2022

AbstractAimsArrhythmogenic right ventricular cardiomyopathy (ARVC), an inherited heart muscle abnormality, is a major cause of sudden cardiac death (SCD). However, the burden of SCD and risk factors in ARVC are not clearly described. Thus, we estimated the rates and predictors of SCD in ARVC in a meta-analysis.Methods and resultsPubMed, Embase, and Web of Science were searched through 7 April 2021. Prospective studies reporting SCD from ARVC cohorts were included. Data were independently extracted by two reviewers and pooled in a random-effects meta-analysis. Fifty-two studies (n = 5485 patients) with moderate-to-low risk of bias were included. The pooled annualized rates of SCD were 0.65 per 1000 [95% confidence interval 0.00–6.43, I2 0.00%] in those with an implantable cardioverter-defibrillator (ICD) and 7.21 (2.38–13.79, I2 0.0%) in non-ICD cohorts: 7.14 in probands and 8.44 for 2010 Task Force Criteria (TFC). Multivariable predictors of life-threatening arrhythmic events including SCD were: age at presentation [adjusted hazard ratio 0.98 (0.97–0.99)], male sex [2.08 (1.29–3.36)], right ventricular (RV) dysfunction [6.99 (2.17–22.49)], QRS fragmentation [6.55 (3.33–12.90)], T-wave inversion [1.12 (1.02–1.24)], syncope at presentation [2.83 (2.40–4.08)], previous non-sustained ventricular tachyarrhythmia [2.53 (1.44–4.45)], and the TFC score [1.96 (1.02–3.76)], (P &lt; 0.05). Predictors of appropriate ICD therapy were RV dysfunction, syncope, and inducible ventricular arrhythmia (P &lt; 0.01).ConclusionThis meta-analysis demonstrates a high burden of SCD in ARVC patients, especially among probands and ARVC defined by the modified TFC. Better strategies are required to improve patient management and prevent SCD in ARVC. PROSPERO ID: CRD42020211761.
Comparison of Comprehensive Screening Results in Postmortem Blood and Brain Tissue by UHPLC–QTOF-MS
Authors: Hansen Stine Lund , Dalsgaard Petur Weihe , Linnet Kristian , Rasmussen Brian Schou 
Published: February 2022

Abstract
Alternative specimens collected during autopsies can be valuable in postmortem toxicology in cases where peripheral blood is not available. The applicability of brain tissue as an alternative matrix for drug screening by ultra-high-performance liquid chromatography–quadrupole time-of-flight mass spectrometry was investigated in this study. Results of the 50 most frequently detected drugs and metabolites of toxicological interest in blood and brain tissue samples from 1,719 autopsy cases were compared. Examination of the results in paired blood and brain tissue samples revealed that the two matrices were in general comparable, as the majority of the 50 analytes were observed in a high number of the examined cases in both blood and brain tissue. This demonstrates the potential of brain tissue as an alternative matrix for drug screening in postmortem toxicology or as a secondary matrix for confirmation.
EU Trade Sustainability Impact Assessments: Revisiting the Consultation Process
Authors: Hoekman Bernard , Rojas-Romagosa Hugo 
Published: February 2022

ABSTRACT
Trade sustainability impact assessments (SIAs) are the main tool used by the European Commission to assess the potential effects of trade policy initiatives and to engage with stakeholders. SIAs have two elements: a model-based quantitative analysis and a consultation process (CP). Both include a focus on a broad range of non-trade issues, many of which are included in sustainable development chapters of EU trade agreements. This paper argues for making CPs a more useful input into the design of trade cooperation. Scaled responses to a survey with closed end questions on a broad range of non-trade policy objectives combined with deliberative polling of a representative sample of survey respondents could help identify what stakeholders in the EU and partner countries perceive to be priority non-trade objectives, as well as issue-specific baselines, performance targets, and appropriate instruments to apply. Building bridges between a revamped ex ante CP and mechanisms that encompass public and private actors to support implementation, resolve problems, and assess progress over time could further help achieve trade and sustainable development goals.
On registration methods for SLAM with low resolution LiDAR sensor
Authors: Aguilar-Moreno Marina , Graña Manuel 
Published: February 2022

Abstract
Affordable light detection and ranging sensors are becoming available for tasks such as simultaneous localization and mapping (SLAM) in robotics and autonomous driving; however, these sensors offer less quality data of lower resolution that hinders the performance of registration methods. The deep learning based approaches seem to be sensitive to these data flaws. Specifically, a state-of-the-art deep learning-based approach failed to produce meaningful results after several attempts to carry out transfer learning over a dataset collected indoors with one such affordable sensors. The paper introduces a hybrid approach combining two well-established registration techniques, the iterative closest point algorithm and the normal distributions transform that achieves good performance on the SLAM task over the same dataset.