bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive study on in‐plane eddy‐current loss in permanent‐magnet synchronous machines
Authors: Ohguchi Hideki , Takigawa Shion , Imamori Satoshi 
Published: November 2023

AbstractIn‐plane eddy‐current loss in permanent‐magnet synchronous machines has been comprehensively and analytically studied by using three‐dimensional (3D) finite element method. Considering the accuracy and calculation time, the electrical conductivity in the stack direction should be set to zero in 3D analysis. Stacking factor is also an important analytical parameter in this kind of calculation. The influences of slot number and coil‐end height have been clarified. Harmonics caused by an inverter in pulse‐width‐modulation or one‐pulse mode result in additional in‐plane eddy‐current loss, which is independent of the slot number. This behaviour can be explained by a theoretical equation of the eddy‐current loss. These results are useful for the analysis and design of highly efficient electrical machines.
Detection of hypersonic weak targets by high pulse repetition frequency radar based on multi‐hypothesis fuzzy‐matching radon transform
Authors: Wei Wu , Dandan Liu , Guohong Wang 
Published: November 2023

AbstractFor the integration detection of near space hypersonic weak targets by high pulse repetition frequency (PRF) radar, a novel method named Multi‐Hypothesis Fuzzy‐Matching Radon transform (MHFM‐RT) is proposed for the near space hypersonic target detection and tracking. For remote hypersonic target detection, to avoid range ambiguity, current radars always use a low PRF mode, which limit the number of pulse accumulations. Using the high PRF mode, the fuzzy folding will appear in the target range measurements when target trajectory crosses range fuzzy intervals. Therefore, there is a contradiction between range ambiguity and energy accumulation. The proposed method is used to match the fuzzy measurements, so as to realise the correct integration in the condition of range ambiguity. Firstly, considering the need of range ambiguity resolution, the mode of staggered PRF is used. Secondly, the first frame measurements are periodically extended for multiple‐fuzzy hypothesis. Finally, the weak target track is accumulated in MHFM‐RT domain, and the signal integration and ambiguity resolution can be realised simultaneously. The proposed method expands the Variable‐Diameter‐Arc‐Helix Radon transform (VDAH‐RT) method to fuzzy folding conditions. Compared with the existing methods, for 7‐scan measurements non‐coherent integration, the detection sensitivity of the proposed method is about 0.5–1 dB higher than that of the IMM hybrid filter algorithm, and about 1 dB higher than that of the RHT‐TBD approach, and it needs less storage space and has higher detection probability.
Kriterien für die Überführung von Modellprojekten in die Regelversorgung aus Sicht der Angehörigen von Menschen mit psychischen Gesundheitsproblemen
Authors: Petereit-Zipfel Heike 
Published: November 2023

ZUSAMMENFASSUNGEs werden die Kriterien für die Integration von Modellprojekten in die Standardversorgung aus der Sicht von Angehörigen von Menschen mit psychischen Gesundheitsproblemen in den Blick genommen. Ein ganzheitlicher Ansatz, der Betroffene und ihre Unterstützer einbezieht, wird als Schlüssel zur Entwicklung effektiver Versorgungslösungen hervorgehoben.Verschiedene Modelle, wie gemeindenahe Versorgung, Früherkennung und Peer-Support-Programme, werden besprochen. Ebenso wird die Bedeutung eines sorgfältigen und inklusiven Ansatzes bei der Integration von Modellprojekten betont, und die Rolle der Gesellschaft und der Medien bei der Bekämpfung von Stigmatisierung und Diskriminierung im Zusammenhang mit psychischen Gesundheitsproblemen wird betont.Die Priorisierung der ambulanten Versorgung und die umfassende Unterstützung für diejenigen, die ihre Bedürfnisse nicht selbstständig ausdrücken und vertreten können, werden als wesentlich angesehen. Nicht zuletzt wird die Notwendigkeit der Unterstützung von Familienangehörigen in den Bereichen physische und psychische Gesundheit, soziale Situation, wirtschaftliche Stabilität und bei (sozial)rechtlichen Belangen besonders betont.Der Text plädiert für eine umfassende psychische Gesundheitsversorgung, die alle Beteiligten einbezieht und langfristig unter Berücksichtigung des demografischen Wandels anpassungsfähig ist.
Der Zusammenhang von Persönlichkeitsstruktur, Burnout und
Prokrastination bei Psychologie- und Medizinstudierenden unter Einbeziehung von
sozialer Unterstützung und Entscheidungsspielraum im
Studium
Authors: Derwahl Leonie , Topalidou Christina , Dilba Pia , Buchholz Ines , Strauß Bernhard , Gumz Antje 
Published: November 2023

Zusammenfassung
Theoretischer Hintergrund Burnout und Prokrastination sind weit
verbreitete Phänomene bei Studierenden. Die Rolle der
Persönlichkeitsstruktur ist bislang wenig erforscht. Ziel der Studie: Es
wird der Zusammenhang von Persönlichkeitsstruktur und studienbezogenen
Arbeitsstörungen unter Berücksichtigung von Ressourcen und
Anforderungen bei Psychologie- und Medizinstudierenden untersucht.
Methodik Im Rahmen einer Querschnittsuntersuchung wurden Daten online an
61 deutschen Hochschulen und Universitäten erhoben. Erfasst wurden
Persönlichkeitsstrukturvariablen (Strukturniveau, OPD-SFK; Bindung,
ECR-RD 12; Emotionsregulation, ERQ), studienbezogene Arbeitsstörungen
(Burnout, MBI-SS-d; Prokrastination; APSI-d) sowie Ressourcen (soziale
Unterstützung, F-SozU K-6; Entscheidungsspielraum im Studium, selbst
entwickelte Skala) und Anforderungen (Corona-Pandemie, selbst entwickelte
Skala). Die Fragestellung wurde mittels einer hierarchischen Regressionsanalyse
beantwortet.
Ergebnisse Von Februar 2020 bis Dezember 2021 haben 775 Studierende
(49,2% Psychologiestudierende, 50,8% Medizinstudierende; Alter
M=24,1 Jahre, SD=5,1 Jahre; 82,3% weiblich,
17,4% männlich, 0,3% divers) an der Befragung
teilgenommen. Im Gesamtmodell wurde 30.4% der Varianz von
Burnout-Erschöpfung, 16,2% der Varianz von Burnout-Zynismus,
20,9% der Varianz von Burnout-Ineffizienz und 30,1% der Varianz
von Prokrastination erklärt (p<0,001). Das Strukturniveau zeigte
signifikant negative Zusammenhänge mit allen Burnout-Variablen sowie mit
Prokrastination (p<0,001). Die Emotionsregulationsstrategie Neubewertung
ging mit geringerer Burnout-Ineffizienz und Prokrastination (p<0,001),
die Strategie Emotionsunterdrückung mit geringerem Burnout-Zynismus
einher (p≤0,01). Der Entscheidungsspielraum im Studium war mit allen
Burnout-Variablen und Prokrastination (p<0,001), die soziale
Unterstützung mit Burnout-Ineffizienz negativ assoziiert
(p≤0,01). Das allgemeine Belastungsniveau während der
Corona-Pandemie zeigte einen positiven Zusammenhang mit
Burnout-Erschöpfung (p≤0,001).
Schlussfolgerungen Die Persönlichkeitsstruktur (Strukturniveau,
Emotionsregulation) hängt bedeutsam mit studienbezogenem Burnout und
Prokrastination zusammen. Trainingsangebote zur Förderung der
Emotionsregulationsfähigkeit könnten für vulnerablen
Studierendengruppen im Umgang mit Burnout und Prokrastination sehr hilfreich
sein.
Study on the spatio-temporal evolution characteristics and driving mechanism of China’s carbon emissions
Authors: Xu Yanqing , Liu Yan , Chen Ruidun , Meng Yifei , Li Kenan , Fu Cong 
Published: November 2023

AbstractThe present study aims to explore the spatial and temporal changes and drivers of carbon emission patterns in China, with the aim of encouraging county-level carbon reduction policies in pursuit of sustainable development. To this end, we have studied the spatial disparities, spatio-temporal patterns, and evolution characteristics of carbon emissions using county-level carbon emissions data from China between 2002 and 2017. Additionally, we have comprehensively considered the dynamic impacts of both county-level and city-level environmental factors on carbon emissions based on an optimized hierarchical random forest model. The results show that the carbon emissions of China’s counties have generally followed an upward trend before stabilizing. Notable characteristics include elevated carbon emissions in the northern regions and reduced carbon emissions in the southern areas. Additionally, there are higher carbon emissions in the eastern regions compared to lower emissions in the western and inland areas, with discernible local clustering patterns. These findings underscore the importance of tailoring the government’s emission reduction strategy to address the phased variations in carbon emissions across different districts and counties. It is essential to emphasize the key role of major urban agglomerations and metropolitan areas in carbon emission reduction, while also addressing potential emission sources in the resource-rich, yet technologically disadvantaged, northwest region. Furthermore, improving energy efficiency through technological innovation should be the primary means of carbon emission reduction at the county level.
The effect of spiritual leadership on proactive customer service performance: The roles of psychological empowerment and power distance
Authors: Zhu Delong , Bahadur Waseem , Ali Muhammad 
Published: November 2023

AbstractScholars have consistently demonstrated that spiritual leadership yields positive outcomes for employees. However, it is not clear how spiritual leadership influences proactive customer service performance. The purpose of this research is to develop a model, grounded in social cognitive theory, to identify why and when spiritual leadership promotes proactive customer service performance. Specifically, the focus is on how spiritual leadership through employee psychological empowerment facilitates proactive customer service performance under the condition of power distance. The empirical analysis, conducted through regression analysis using the PROCESS macro, is based on questionnaire data from 263 leaders and employees in the hospitality industry. Findings reveal that spiritual leadership has a positive effect on boosting employees’ psychological empowerment, subsequently nurturing their engagement in proactive customer service performance. Moreover, it is found that within an environment of low power distance, the favorable impact of spiritual leadership on proactive customer service performance is amplified, as employees are more inclined to challenge authority and norms and engage in proactively solving problems related to customer service. Key implications suggest scholars and managers ways to enhance proactive customer service performance.
Mediatorship in the clash of hegemonic and counter publics
Authors: Abdal Göksenin , Yaman Büşra 
Published: November 2023

Abstract
This study discusses how the publication of Alice Oseman’s translation of the Heartstopper
(Kalp Çarpıntısı) series in Turkey became a case of multiple mediatorship, from the stigmatization of the
series as “propaganda of heresy” and the official restrictions of its sales to the support for its dissemination among the target
audience. Closely relating to the mediation processes that turn sanctions into statements against the LGBTQ+ community or
springboards for solidarity in support of equality and inclusion, the concept of multiple mediatorship embodies mediators or
agents acting for or against the dissemination of the series among Turkish readers. In that vein, this study offers a nuanced
understanding of how mediation cannot simply be deemed a collaborative act enabled by alliance, but, rather, of how it involves a
clash of multiple mediators who are in conflict in the public sphere.
The impact of telescope aberrations on the magnitude of tilt to length coupling noise in space based gravitational wave detectors
Authors: Fan Wentong , Fang Sijun , Hai Hongwen , Song Jie , Zhou Jinhang , Wu Yuwei , Zou Rurui , Zhao Kai , Zhang Rui , Li Bohong , Luo Jian , He Bin , Qiu Minyan , Fan Lei , Li Zizheng , Zhao Hongchao , Yan Yong 
Published: November 2023

Abstract
Tilt-to-length (TTL) coupling noise is one of the main noise sources that affect space gravitational wave detection, and the Tianqin project requires that the internal TTL coupling noise of the telescope used be less than 0.4 pm/Hz1/2 within the frequency band from 0.1 mHz to 1 Hz. In order to design a telescope that meets the requirements of TTL coupling noise and carry out preliminary error allocation research, it is necessary to analyze and calculate the TTL coupling noise, and then guide the design and optimization of the telescope system. This paper establishes a computational analysis model for the non-geometric TTL coupling noise inside the telescope using the first 36-order edge Zernike polynomials. A method was proposed to reduce the internal TTL coupling noise of the telescope by reducing the proportion of sensitive aberrations caused by non-geometric TTL coupling noise. Simulation results show that, with the RMS value of wavefront aberration at the telescope exit pupil unchanged, reducing the proportion of sensitive aberrations at the telescope exit pupil can effectively reduce the internal TTL coupling noise of the telescope. By optimizing the telescope optical system to reduce the proportion of noise-sensitive aberrations, the non-geometric TTL coupling noise inside the telescope has been reduced from 0.34 pm/Hz1/2 @ 0.1 mHz ∼ 1 Hz to 0.25 pm/Hz1/2. This result can provide some guidance for the design of telescope optics based on the suppression of internal TTL coupling noise in the telescope.
Online identification of burn-through and weld deviation in sheet lap MIG welding based on YOLOv5
Authors: Wang Jie , Zhang Zhifen , Qin Rui , Wen Guangrui 
Published: November 2023

AbstractOnline monitoring of the welding process is very important to the development of the modern manufacturing industry. However, monitoring welding defects in real-time and with high accuracy is challenging because welding is inherently a dynamic, non-linear process. In this paper, the forming defects generated during the melt Inert-gas welding of sheet steel as the object of research. We propose a multi-task simultaneous monitoring system for welding defects based on the YOLOv5 model, which can achieve highly accurate simultaneous detection of burn-through and weld deviation defects. Firstly, a passive vision system has been designed that can filter out strong arc light interference. In combination with a self-made camera bracket with flexible adjustment and repeatable positioning, clear images of the molten pool can be acquired. Compared to common methods that require a laser for weld deviation detection, all monitoring tasks can be performed with just one charge coupled device camera, significantly reducing the cost of deploying the system. Secondly, to obtain experimental data closer to the industrial field environment. We simulated different degrees of local and continuous burn-through by changing three parameters: welding current, plate thickness, and lap width. Four different deviations: left, right, and tilt were designed to obtain rich weld deviation image data. Finally, based on the above data, we compared several aspects such as detection speed, recognition accuracy, and loss function. The YOLOv5s model with the smallest model parameters was finally selected as the base model. The results show that our proposed multi-task simultaneous monitoring system achieves an average accuracy of 98.84% for the identification of four molten pool states. Burn-through defect and weld deviation detection with more than 50 frames per second can be achieved in the online detection state. This paper can provide some guidance for the online monitoring of the welding manufacturing process.
Influence of cooling rate on microstructure and defect evolution in GaAs during solidification
Authors: Wang Siyuan , Chen Qian , Yuan Yongkai , Gao Tinghong , Liang Yongchao , Tian Zean , Yang Anqi 
Published: November 2023

Abstract
The fabrication of high-quality GaAs crystals is essential to approach optimal performance in optoelectronic and microelectronic devices. In this study, a molecular dynamics simulation study was conducted for the solidification of liquid GaAs at three cooling rates (1010 K s−1, 1011 K s−1, and 1012 K s−1) at 300 K. The structural evolution in terms of crystal structure and defect formation in GaAs was thoroughly investigated using pair distribution function, average atomic energy, the largest standard cluster analysis, and visualization techniques. The results showed that the cooling rate of 1010 K s−1 led to the development of the best crystal quality with ease of eutectic twin grain boundary coherent twin boundary formation. Increasing the cooling rates to 1011 K s−1 and 1012 K s−1 resulted in the amorphous structure. Both high and low cooling rates profoundly affected the formation of As8 structure, but a maximum amount of 2.2% of As8 crystal structure was formed at a cooling rate of 1011 K s−1. The reduction in cooling rate to 1010 K s−1 induced the formation of numerous Schottky and Frenkel types of partial dislocations in the GaAs system. Results of this study can serve as potential guidelines to the theory of crystal growth and may be implemented in the fabrication of high-quality GaAs crystals for optimal device performance.
Graphene nanowalls grown on copper mesh
Authors: Reguig Abdeldjalil , Vishal Badri , Smajic Jasmin , Bahabri Mohammed , Deokar Geetanjali , Alrefae Majed A , Costa Pedro M F J 
Published: November 2023

Abstract
Graphene nanowalls (GNWs) can be described as extended nanosheets of graphitic carbon where the basal planes are perpendicular to a substrate. Generally, existing techniques to grow films of GNWs are based on plasma-enhanced chemical vapor deposition (PECVD) and the use of diverse substrate materials (Cu, Ni, C, etc) shaped as foils or filaments. Usually, patterned films rely on substrates priorly modified by costly cleanroom procedures. Hence, we report here the characterization, transfer and application of wafer-scale patterned GNWs films that were grown on Cu meshes using low-power direct-current PECVD. Reaching wall heights of ∼300 nm, mats of vertically-aligned carbon nanosheets covered square centimeter wire meshes substrates, replicating well the thread dimensions and the tens of micrometer-wide openings of the meshes. Contrastingly, the same growth conditions applied to Cu foils resulted in limited carbon deposition, mostly confined to the substrate edges. Based on the wet transfer procedure turbostratic and graphitic carbon domains co-exist in the GNWs microstructure. Interestingly, these nanoscaled patterned films were quite hydrophobic, being able to reverse the wetting behavior of SiO2 surfaces. Finally, we show that the GNWs can also be used as the active material for C-on-Cu anodes of Li-ion battery systems.
Scanning near-field optical microscopy measurements and simulations of regularly arranged silver nanoparticles
Authors: Song M , Fumagalli P , Schmid M 
Published: November 2023

Abstract
Silver nanoparticles on a glass substrate are experimentally investigated by aperture scanning near-field optical microscopy (a-SNOM). To understand the experimental results, finite-element-method simulations are performed building a theoretical model of the a-SNOM geometry. We systematically vary parameters like aperture size, aluminum-coating thickness, tip cone angle, and tip-surface distance and discuss their influence on the near-field enhancement. All these investigations are performed comparatively for constant-height and constant-gap scanning modes. In the end, we establish a reliable and stable optical model for simulating a-SNOM measurements, which is capable of reproducing trends observed in experimental data.
Tungsten accumulation during ion cyclotron resonance heating operation on WEST
Authors: Maget P , Manas P , Dumont R , Angioni C , Artaud J-F , Bourdelle C , Casson F J , Colas L , Devynck P , Fajardo D , Fedorczak N , Goniche M , Hillairet J , Huynh Ph , Koechl F , Moiraf D , Morales J , Vézinet D ,   the WEST Team
Published: November 2023

Abstract
The observation of radiative collapses during ion cyclotron resonance heating (ICRH) operation on the full tungsten WEST tokamak constitutes a unique opportunity to get a quantitative balance of the sources and sinks in the core region of the plasma. Experimental analysis and numerical modelling evidence a significant reduction of the effective electron heat source delivered by ICRH compared with expectations on the one hand, and a complex interplay of mechanisms acting on the collisional peaking of tungsten on the other hand. Besides providing an explanation for the observed radiative collapses, this work outlines the variety of phenomenon determining the tungsten profile in ICRH operation.
EEG decoding for datasets with heterogenous electrode configurations using transfer learning graph neural networks
Authors: Han Jinpei , Wei Xiaoxi , Faisal A Aldo 
Published: November 2023

Abstract

Objective. Brain-machine interfacing (BMI) has greatly benefited from adopting machine learning methods for feature learning that require extensive data for training, which are often unavailable from a single dataset. Yet, it is difficult to combine data across labs or even data within the same lab collected over the years due to the variation in recording equipment and electrode layouts resulting in shifts in data distribution, changes in data dimensionality, and altered identity of data dimensions. Our objective is to overcome this limitation and learn from many different and diverse datasets across labs with different experimental protocols. Approach. To tackle the domain adaptation problem, we developed a novel machine learning framework combining graph neural networks (GNNs) and transfer learning methodologies for non-invasive motor imagery (MI) EEG decoding, as an example of BMI. Empirically, we focus on the challenges of learning from EEG data with different electrode layouts and varying numbers of electrodes. We utilize three MI EEG databases collected using very different numbers of EEG sensors (from 22 channels to 64) and layouts (from custom layouts to 10–20). Main results. Our model achieved the highest accuracy with lower standard deviations on the testing datasets. This indicates that the GNN-based transfer learning framework can effectively aggregate knowledge from multiple datasets with different electrode layouts, leading to improved generalization in subject-independent MI EEG classification. Significance. The findings of this study have important implications for brain-computer-interface research, as they highlight a promising method for overcoming the limitations posed by non-unified experimental setups. By enabling the integration of diverse datasets with varying electrode layouts, our proposed approach can help advance the development and application of BMI technologies.
Design and Implementation of RISC-V Based Pipelined Multiplier
Authors: Sun Rongxue , Liu Huimin , Zhang Rong , Qu Jiale 
Published: November 2023

Abstract
Among the many microprocessors, RISC-V as an open-source instruction set is gradually gaining popularity among academia and industry. The performance of the multiplier in the microprocessor imposes constraints on the computational power of the processor. In order to improve the efficiency of multiplication instructions, a pipeline multiplier is implemented in this paper. Firstly, the partial product is generated using the Radix-4 booth. Secondly, the Wallace tree structure is used to accelerate the compression of the partial product. Then, a parallel prefix adder is used to calculate the resulting partial product to improve the timing. Finally, registers are added as a pipeline to achieve a high-efficiency multiplication calculation. With the operating voltage and temperature set to typical conditions, the integrated multiplier area is 50260.6 μm2, and the power consumption is 20.41 mW. The final frequency of the multiplier is 1 GHz in gate-level simulation.