bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influenzaimpfung – Mehr als nur Influenzaschutz
Authors: Dechend Ralf 
Published: November 2023

ZusammenfassungDie Influenza ist eine schwere Infektionskrankheit, die jedes Jahr weltweit zu erheblicher Morbidität und Mortalität führt. Kardiovaskuläre Ereignisse, insbesondere in den ersten 2 Wochen nach einer Influenzainfektion, sind die Haupttodesursache. Dabei haben insbesondere ältere Menschen aufgrund von Immunseneszenz, Multimorbidität und Gebrechlichkeit ein erhöhtes Risiko für schwere Krankheitsverläufe. Die Influenzaimpfung ist eine wirksame Strategie zur Verringerung von Influenzainfektionen und dadurch bedingten kardiovaskulären Komplikationen. Die Ständige Impfkommission (STIKO) empfiehlt daher die jährliche Influenzaimpfung für Personen ab 60 Jahren und für bestimmte Risikogruppen unabhängig vom Alter. Aufgrund der nachlassenden Abwehrleistung des Immunsystems sind Standardimpfstoffe bei älteren Personen häufig nicht so effektiv. Über verschiedene Optimierungsansätze, wie z. B. die Verwendung eines hochdosierten Influenzaimpfstoffs, wird daher versucht, die Immunantwort auf eine Influenzaimpfung zu erhöhen und die Effektivität zu verbessern. Aufgrund der guten Datenqualität für den Hochdosisimpfstoff wird dessen Einsatz von der STIKO ab einem Alter von 60 Jahren empfohlen. Randomisierte kontrollierte Studien wie auch Metaanalysen zeigen, dass der Hochdosisimpfstoff im Vergleich zum standarddosierten Influenzaimpfstoff die Wirksamkeit bezüglich Influenzainfektionen und kardiorespiratorischen Ereignissen verbessert. Auch bereits herzkranke Personen profitieren von der Influenzaimpfung. Patient*innen sollten daher von ihren behandelnden Ärzt*innen über die kardiovaskulären Vorteile der Influenzaimpfung informiert werden.
“Fractional” Vocational Working and Learning in Project Teams: “Project Assemblage” as a Unit of Analysis?
Authors: Guile David , Spinuzzi Clay 
Published: November 2023

AbstractSituated and Activity theories have exercised a significant influence in the field of vocational learning for some considerable time, both sharing a focus on bounded forms of work and forms of learning that facilitate learning in, or to changes to, bounded forms of work. Yet much learning occurs in unbounded contexts often referred to as projectification, where collaborations occur only for the life of a project thereby creating new contingent contexts for learning . Given the existence of this form of working and learning, what type of unit of analysis (UoA) is required to analyse that vocational working and learning in the context of projectification? To address this question, the paper advances the following inter-theoretical argument. Firstly, it is timely to develop a new unit of analysis (UoA) to capture the fractional (intermittent, discontinuous and concurrent) working and learning dynamics associated with the forms of projectification, where funding has to be procured in order to commence. Secondly, that unit of analysis is constituted by the concept of project assemblage, which is based on ideas from Actor Network Theory, Cultural-historical Activity Theory and Cultural Sociology. Thirdly, this new UoA enables researchers to identify the way in which project teams, where members are coming in-and-out, learn to use their different forms of specialist activity to enact objects, why team members will have different backgrounds and understandings of their work, why objects may not cohere, even though team members may treat them as unified and coherent, and how team members learn to incorporate one another’s insights and suggestions, and establish a finalized object.
An Index-Based Approach to Assess Social Vulnerability for Hamburg, Germany
Authors: von Szombathely Malte , Hanf Franziska S. , Bareis Janka , Meier Linda , Oßenbrügge Jürgen , Pohl Thomas 
Published: November 2023

AbstractIn this study, we set out to develop a new social vulnerability index (SVI). In doing so, we suggest some conceptual improvements that can be made to existing methodical approaches to assessing social vulnerability. To make the entanglement of socio-spatial inequalities visible, we are conducting a small-scale study on heterogeneous urban development in the city of Hamburg, Germany. This kind of high-resolution analysis was not previously available, but is increasingly requested by political decision makers. We can thus show hot spots of social vulnerability (SV) in Hamburg, considering the effects of social welfare, education, and age. In doing so, we defined SV as a contextual concept that follows the recent shift in discourse in line with the Intergovernmental Panel on Climate Change’s (IPCC) concepts of risk and vulnerability. Our SVI consists of two subcomponents: sensitivity and coping capacity. Populated areas of Hamburg were identified using satellite information and merged with the social data units of the city. Areas with high SVI are distributed over the entire city, notably in the district of Harburg and the Reiherstieg quarter in Wilhelmsburg near the Elbe, as well as in the densely populated inner city areas of Eimsbüttel and St. Pauli. As a map at a detailed scale, our SVI can be a useful tool to identify areas where the population is most vulnerable to climate-related hazards. We conclude that an enhanced understanding of urban social vulnerability is a prerequisite for urban risk management and urban resilience planning.
On Sherds, Vessels, and Pragmatics: Reaction to Feathers
Authors: Shott Michael J. 
Published: November 2023

AbstractFeathers addresses the dual challenges of inferring original vessel counts from sherds and inference to use life from reconstructed vessels. His solution assumes the validity of sherd assemblages as units of observation that considerable research invalidates and overlooks methods that estimate original vessels from sherds. Feathers also doubts that use life can be inferred for reconstructed vessels. Although not a focus of my article, the larger study from which it derived addresses this matter in detail that strongly warrants vessel size as use-life measure. Of course we must be pragmatic in quantifying pottery assemblages, but first we must identify valid units of observation, and only then attend to pragmatics.
The Hard Problem of Access for Epistemological Disjunctivism
Authors: Grad Paweł 
Published: November 2023

Abstract
In this paper, I identify the hard problem of access for epistemological disjunctivism (ED): given that perceptual experience E is opaque with respect to its own epistemic properties, subject S is not in a position to know epistemic proposition (i) (that E is factive with respect to empirical proposition p) just by having E and/or reflecting on E. This is the case even if (i) is true. I first motivate the hard problem of access (Section 2) and then reconstruct and analyze three of the ways in which EDists have argued for the internal accessibility of the factive character of perceptual experience. These arguments explain internal access in terms of the unity of perceptual and rational capacities (Section 3), favoring support (Section 4), and the outward-looking model of self-knowledge (Section 5). My conclusion (Section 6) is that none of these responses works. I then suggest how ED might be modified to succeed as an access internalist epistemology.
NE SPADONES FIANT: DOMITIAN'S EMASCULATION BAN
Authors: Lewis Juan P. 
Published: November 2023

AbstractThis article questions the prevailing opinion that Domitian's prohibition of castration was intended as a protective measure devised to check masters’ abuses on their slaves, as part of a larger trend towards more enlightened attitudes towards slavery among the Romans. While brutal, castration was the only type of mutilation which increased the monetary value of slaves. Banning it curtailed slaves’ chances of social climbing and narrowed their channels towards positions of power. The emasculation ban is, instead, better understood as one of the many measures directed towards the control of the sexual behaviour and the sumptuary practices of the Roman elite. Introduced as a censorial decree, the ban gave Domitian the opportunity to act as the upholder of Republican traditions at the same time as he impinged on the private lives of his subjects and put senators and equestrians under his thumb. The article also argues that, contrary to what is usually argued, the constant re-enforcement of the prohibition to castrate by Domitian's successors is an indication of the effectiveness of the Roman legal machinery and its capacity to reach the most distant corners of the Roman empire.
Teaching Classics as an applied subject
Authors: König Alice 
Published: November 2023

AbstractThis article discusses the opportunities and challenges of teaching Classics as an ‘applied’ subject. It outlines the development of a new module at the University of St Andrews which asks student teams to research and design a project that draws on ancient sources, practices or ideas to address a challenge in the 21st century, such as ‘fake news’, racism, or climate change. It distinguishes Applied Classics from Public Classics and Reception Studies, defining the former as ‘the purposeful application of carefully-chosen aspects of antiquity as a useful intervention in a contemporary challenge.’ It also underlines its value as a form of ‘Citizen Scholarship’, a branch of academia that builds bridges to activism and has tangible impacts, creating change (not just disseminating knowledge) in the wider world. The article considers the ethics of Applied Classics; the mentoring that students require, to work in novel ways and on topics well outside their comfort zones; and the assessment challenges that come with project-based learning. It reflects on the skills that students acquire from this kind of module (in leadership, collaboration, creative thinking, critical self-reflection and outcomes-focused thinking), on their sense of empowerment as they identify ways to translate their studies into socially impactful work, and on the contributions they can make to wider debates about the future of Classics as a discipline.
Hydropower station scheduling with ship arrival prediction and energy storage
Authors: Zhou Enjiang , Liu Xiao , Meng Zhihang , Yu Song , Mei Jinxiu , Qu Qiang 
Published: November 2023

AbstractEffectiveness improvement in power generation and navigation for grid-connected hydropower stations have emerged as a significant concern due to the challenges such as discrepancies between declared and actual ship arrival times, as well as unstable power generation. To address these issues, this paper proposes a multi-objective real-time scheduling model. The proposed model incorporates energy storage and ship arrival prediction. An energy storage mechanism is introduced to stabilize power generation by charging the power storage equipment during surplus generation and discharging it during periods of insufficient generation at the hydropower stations. To facilitate the scheduling with the eneragy storage mechanism, the arrival time of ships to the stations are predicted. We use the maximization of generation minus grid load demand and the maximization of navigability assurance rate as two objective functions in the scheduling process. The model uses the Non-Dominated Sorting Beluga Whale Optimization (NSBWO) algorithm to optimize and solve the real-time discharge flow scheduling of the hydropower stations in different time periods. The NSBWO algorithm combines the Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) and the Beluga Whale Optimization (BWO). The experimental results show that the proposed method has advantages in predicting the expected arrival time of ships and scheduling the discharge flow. The prediction using XGBoost model reaches accuracy with more than 0.9, and the discharged flow obtained from scheduling meets the demand of hydropower stations grid load while also improves the navigation benefits. This study provides theoretical analysis with its practical applications in a real hyropower station as a case study for solving hydropower scheduling problems.
Brain activity characteristics of RGB stimulus: an EEG study
Authors: Khadir Alireza , Maghareh Mohammad , Sasani Ghamsari Shamim , Beigzadeh Borhan 
Published: November 2023

AbstractThe perception of color is a fundamental cognitive feature of our psychological experience, with an essential role in many aspects of human behavior. Several studies used magnetoencephalography, functional magnetic resonance imaging, and electroencephalography (EEG) approaches to investigate color perception. Their methods includes the event-related potential and spectral power activity of different color spaces, such as Derrington-Krauskopf-Lennie and red-green-blue (RGB), in addition to exploring the psychological and emotional effects of colors. However, we found insufficient studies in RGB space that considered combining all aspects of EEG signals. Thus, in the present study, focusing on RGB stimuli and using a data-driven approach, we investigated significant differences in the perception of colors. Our findings show that beta oscillation of green compared to red and blue colors occurs in early sensory periods with a latency shifting in the occipital region. Furthermore, in the occipital region, the theta power of the blue color decreases noticeably compared to the other colors. Concurrently, in the prefrontal area, we observed an increase in phase consistency in response to the green color, while the blue color showed a decrease. Therefore, our results can be used to interpret the brain activity mechanism of color perception in RGB color space and to choose suitable colors for more efficient performance in cognitive activities.
Impulsively generated waves in two-fluid plasma in the solar chromosphere: Heating and generation of plasma outflows
Authors: Kumar M. , Murawski K. , Kadowaki L. , Kuźma B. , Kilpua E. K. J. 
Published: November 2023

Context. We present new insights into impulsively generated Alfvén and magneto-acoustic waves in the partially ionized two-fluid plasma of the solar atmosphere and their contribution to chromospheric heating and plasma outflows.
Aims. Our study attempts to elucidate the mechanisms responsible for chromospheric heating and excitation of plasma outflows that may contribute to the generation of the solar wind in the upper atmospheric layers. The main aim of this work is to investigate the impulsively generated waves by taking into account two-fluid effects. These effects may alter the wave propagation leading to attenuation and collisional plasma heating.
Methods. The two-fluid equations were solved by the JOint ANalytical Numerical Approach (JOANNA) code in a 2.5-dimensional (2.5D) framework to simulate the dynamics of the solar atmosphere. Here, electrons + ions (protons) and neutrals (hydrogen atoms) are treated as separate fluids, which are coupled via ion-neutral collisions. The latter acts as a dissipation mechanism for the energy carried by the waves in two-fluid plasma and may ultimately lead to the frictional heating of the partially ionized plasma. The waves in two-fluid plasma, which are launched from the top of the photosphere, are excited by perturbations induced by localized Gaussian pulses in the horizontal components of the ion and neutral velocities.
Results. In the middle and upper chromosphere, a substantial fraction of the energy carried by large amplitude waves in the two-fluid plasma is dissipated in ion-neutral collisions, resulting in the thermalization of wave energy and generation of plasma outflows. We find that coupled Alfvén and magneto-acoustic waves are more effective in heating the chromosphere than magneto-acoustic waves.
Conclusions. Large-amplitude waves in the two-fluid plasma may be responsible for heating the chromosphere. The net flow of ions is directed outward, leading to plasma outflows in the lower solar corona, which may contribute to the solar wind at higher altitudes The primary source of wave energy dissipation in the current paradigm comes from collisions between ions and neutrals.
From energy racism to people’s power: unpacking the electricity crisis and resistance in Orange Farm, Johannesburg
Authors: Sinwell Luke , Ngwane Trevor , Maggott Terri 
Published: November 2023

ABSTRACT
Energy racism, a brainchild of racial capitalism, systemically excludes the black majority who are denied safe, reliable and clean household energy. It manifests in violent and, sometimes, deadly ways, which are often met with organised resistance from below. Drawing on a case study of Orange Farm, Johannesburg, this article explores the politics of popular resistance to the crisis of neoliberalism and cost recovery. It argues that the macro-sphere of energy production (for example, global coal consumption and Eskom) and the micro-sphere of consumption and resistance intersect within the constraints of a racialised system of capital extraction.
Ammonia cracking for hydrogen production using a microwave argon plasma jet
Authors: Zhang Xinhua , Cha Min Suk 
Published: November 2023

Abstract
Ammonia (NH3) is a promising hydrogen carrier that effectively connects producers of blue hydrogen with consumers, giving rapid conversion of ammonia to hydrogen a critical role in utilizing hydrogen at the endpoints of application in an ammonia-hydrogen economy. Because conventional thermal cracking of NH3 is an energy intensive process, requiring a relatively longer cold start duration, plasma technology is being considered as an assisting tool—or an alternative. Here we detail how an NH3 cracking process, using a microwave plasma jet (MWPJ) under atmospheric pressure, was governed by thermal decomposition reactions. We found that a delivered MW energy density (ED) captured the conversion of NH3 well, showing a full conversion for ED > 6 kJ l−1 with 0.5-% v/v NH3 in an argon flow. The hydrogen production rate displayed a linear increase with MW power and the NH3 content, being almost independent of a total flow rate. A simplified one-dimensional numerical model, adopting a thermal NH3 decomposition mechanism, predicted the experimental data well, indicating the importance of thermal decomposition in the plasma chemistry. We believe that such a prompt thermal reaction, caused by MW plasma, will facilitate a mobile and/or non-steady application. A process combined with the conventional catalytic method should also effectively solve a cold start issue.
Temperature dependence of growth-sector-dependent Raman spectra of boron-doped diamonds synthesized at high-pressure high-temperature
Authors: Nikolenko A S , Strelchuk V V , Danylenko I M , Starik S P , Kovalenko T V , Lysakovskyi V V , Ivakhnenko S O 
Published: November 2023

Abstract
Single crystals of boron-doped diamond (BDD) were synthesized by the temperature gradient method in high-pressure and high-temperature conditions in the Fe–Al–B–C system, and multisectoral diamond plates were extracted. Temperature-dependent (77–600 K) high-resolution Raman spectroscopic studies have been carried out to investigate the behavior of anharmonic phonon decay in the {001}, {113}, and {111} growth sectors of multisectoral diamond plates with different content of boron impurities (⩽80 ppm) and compare with the data for undoped IIa diamond. Micro-Fourier transform infrared spectroscopy was used to estimate the spatial distribution of uncompensated boron impurity [Na-Nd] in BDD plates by analyzing boron-related absorption peaks. The plates were shown to have non-uniform growth-sector-dependent content of uncompensated boron impurity in the range from 1.1 × 1018 to 1.4 × 1019 cm−3. The effects of anharmonic decay (damping) of optical phonons in BDD are studied by modeling the temperature dependence of phonon frequency and linewidth of the diamond’s F2g and boron-induced vibrational modes. The extrapolated zero-temperature optical phonon linewidth and frequency and the anharmonic nature of their linear relationship are determined as a function of the growth sector and boron doping. The predominant mechanisms and parameters of the anharmonic decay of optical phonons are determined, which is of fundamental importance for the thermal conductivity of semiconductor materials. The anharmonic phonon decay remained the predominant process at higher temperatures, irrespective of the doping level.
DEC-NWD: an approach for open set domain adaptation in fault diagnosis
Authors: Zhao Xiaoping , Peng Peng , Xue Xingan , Ma Mengyao 
Published: November 2023

Abstract
The issue of data-driven cross-domain fault diagnosis for rolling bearings has been effectively addressed through advancements in domain adaptation (DA) methods. However, most existing approaches assume the same set of labels for training data and test data. This assumption often falls short of reality, as new fault types may emerge during the testing phase, resulting in less effective DA methods based on marginal distribution. To address this issue, this study proposes an open set DA method based on domain similarity, entropy, confidence, and nuclear-norm 1-Wasserstein discrepancy (NWD). Within this method, a sample-level transferability criterion is introduced. This criterion quantifies the transferability of target samples and assigns small weights to the unknown class. The complementary nature of entropy and confidence is exploited to improve the discriminability of the network for highly uncertain predictions and to use multiple classifiers to compensate for the possible influence of prediction errors on confidence. Additionally, the NWD is utilized in this method. It treats the classifier as a discriminator and leverages the predicted discriminative information to maximize the alignment of the common classes between the source and target domains. The proposed method has been validated through extensive experiments conducted on two publicly available bearing datasets.
A maximum cyclic impulses energy ratio deconvolution fused with enhanced envelope derivative operator frequency spectrum for early fault diagnosis of rolling bearing
Authors: Zheng Kai , Tang Jiaquan , Shi Yang , Tan Feng , Bai Yin , Wen Siguo 
Published: November 2023

Abstract
Blind deconvolution is a powerful tool for rolling bearing fault diagnosis. As one of deconvolution methods, maximum second-order cyclostationarity blind deconvolution (CYCBD) is proved to be effective in extracting bearing fault characteristics. However, the performance of CYCBD method is greatly compromised by setting of fault characteristic frequency (FCF) in advance. Moreover, its performance decreases dramatically under the interference of random shocks and strong noise. To address these issues, a new deconvolution method, named as maximum cyclic impulses energy ratio deconvolution (MCIERD) fused with enhanced envelope derivative operator frequency spectrum (EEDOFS) is proposed in this research. In this method, the EEDOFS is proposed to estimate the FCF. Furthermore, the cyclic impulses energy ratio (CIER) is employed as the deconvolution indicator. Moreover, the hybrid firefly and particle swarm optimization algorithm is used to solve the optimal filter coefficients by maximizing the CIER. Simulation results show that EEDOFS exhibits a greater robustness in estimating FCF accurately under strong interferences and MCIERD performs well in extracting fault cyclic impulses under the interference of heavy noise and random shocks. Finally, three run-to-failure bearing datasets are employed for experimental validation, whose results demonstrate the effectiveness of EEDOFS in accurate estimating FCF and identifying the early bearing fault. Meanwhile, MCIERD fused with EEDOFS is proved to have greater advantages in extracting early bearing fault feature.